👋 Greetings Everyone! I'm Onuralp, a seasoned Senior Machine Learning Engineer @Ultralytics with expertise in Python 🐍, Kotlin 📱, C++ ⚙️, and Rust 🦀. My passion lies in the dynamic…
👋 Greetings Everyone!
I'm Onuralp, a seasoned Senior Machine Learning Engineer @Ultralytics with expertise in Python 🐍, Kotlin 📱, C++ ⚙️, and Rust 🦀. My passion lies in the dynamic fields of Computer Vision 👁️, Machine Learning 🤖, and Deep Learning 🧠. Beyond development, I have a strong foundation in DevOps and MLOps, ensuring seamless deployment, automation, and scalability of cutting-edge solutions 🚀.
🧠 model.summary()
python
import torch.nn as nn
class Onuralp(nn.Module):
def __init__(self):
super().__init__()
self.role = "Senior Machine Learning Engineer @Ultralytics"
self.focus = ["Computer Vision 👁️", "Deep Learning 🧠", "MLOps ⚙️", "GPU Kernels ⚡"]
self.languages = ["Python 🐍", "Kotlin 📱", "C++ ⚙️", "Rust 🦀", "CUDA PTX ⚡"]
self.community = ["Fedora Project Contributor 🐧", "GDG Samsun Organizer 🎤"]
def forward(self, coffee):
code = self.write_code(coffee)
models = self.train_yolo(code)
return self.deploy_to_edge(models)
🚀 inference_pipeline.run()
I specialize in building, optimizing, and deploying state-of-the-art Computer Vision models. From training YOLO architectures at Ultralytics to optimizing inference with ONNX, TensorRT, and ExecuTorch, I bridge the gap between research and production.
- 🔭 Currently working on: Pushing the boundaries of real-time object detection and tracking at Ultralytics.
- 🌱 Currently exploring: Vision-Language Models (VLMs), Edge AI, Rust-based ML inference, and GPU kernel programming with cuda-oxide.
- 💬 Ask me about: YOLO, PyTorch, Computer Vision, Open Source, and Fedora Linux.
🧬 model.fit(epochs=1000)
| Epoch 1 | Epoch 50 | Epoch 100 |
|:---:|:---:|:---:|
| 🔲🔳🔲🔳🔳🔲🔳🔲🔳🔲🔳🔲🔲🔳🔲🔳🔲🔳🔲🔳🔳🔲🔳🔲🔳🔲🔳🔲🔲🔳🔲🔳🔲🔳🔲🔳🔳🔲🔳🔲🔳🔲🔳🔲🔲🔳🔲🔳🔲🔳🔲🔳🔳🔲🔳🔲🔳🔲🔳🔲🔲🔳🔲🔳 | ⬛⬛⬛🟪🟪⬛⬛⬛⬛⬛🟪🟪🟪🟪⬛⬛⬛🟪🟪🟪🟪🟪🟪⬛⬛🟪🟪🟪🟪🟪🟪⬛⬛⬛🟪🟪🟪🟪⬛⬛⬛⬛⬛🟪🟪⬛⬛⬛⬛⬛⬛⬛⬛⬛⬛⬛⬛⬛⬛⬛⬛⬛⬛⬛ | 🟥🟥🟥🟥🟥🟥🟥🟥🟥⬛⬛⬛⬛⬛⬛🟥🟥⬛🟦⬛⬛🟦⬛🟥🟥⬛⬛⬛⬛⬛⬛🟥🟥⬛⬛🟦🟦⬛⬛🟥🟥⬛⬛⬛⬛⬛⬛🟥🟥🟥🟥🟥🟥🟥🟥🟥⬛⬛⬛⬛⬛⬛⬛⬛ |
| *Raw Data (Noise)* | *Feature Extraction* | *YOLO Object Detected!* |
console
[Epoch 001] 🟢⚪⚪⚪⚪⚪⚪⚪⚪⚪ (Learning Python & C++)
[Epoch 050] 🟢🟢🟢⚪⚪⚪⚪⚪⚪⚪ (Mastering Computer Vision & OpenCV)
[Epoch 100] 🟢🟢🟢🟢🟢⚪⚪⚪⚪⚪ (Training YOLO & Deep Learning Models)
[Epoch 500] 🟢🟢🟢🟢🟢🟢🟢⚪⚪⚪ (Optimizing with ONNX, TensorRT & Rust)
[Epoch 999] 🟢🟢🟢🟢🟢🟢🟢🟢🟢🟢 (Deploying AI @ Ultralytics 🚀)
> Model 'Onuralp' successfully converged.
> Current State: Senior ML Engineer Lv2
> Next Objective: AGI & Beyond...
🐧 Open Source & Community
I am a long-term Contributor and Mindshare Member, Fedora KDE SIG Member, Fedora Website and Apps Team Member, and RPM Packager at the Fedora Project. As an RPM packager, I actively maintain and package Python, KDE, Qt and AI/ML-related libraries for Fedora Linux helping bring cutting-edge open source tools to millions of users through the official Fedora repositories. I am also an Organizer and Speaker at GDG Samsun, where I share insights on Deep Learning, Machine Learning, Computer Vision, and Vision-Language Models (VLMs).
In addition to my community work, I contribute to a variety of FLOSS and OSS projects across GitHub, GitLab, and Pagure always aiming to build together and make open source a better place for everyone.
📦 rpm --build-pipeline
| %prep | %build | %install | %check | dnf install |
|:---:|:---:|:---:|:---:|:---:|
| 🔵⚪⚪⚪⚪ | 🔵🔵⚪⚪⚪ | 🔵🔵🔵⚪⚪ | 🔵🔵🔵🔵⚪ | 🔵🔵🔵🔵🔵 |
| *Patch & unpack sources* | *Compile & link* | *Stage files* | *Run tests* | *Ship to users!* |
console
$ fedpkg clone python-awesome-package && cd python-awesome-package
$ fedpkg prep # ✅ Sources verified, patches applied
$ fedpkg build # ✅ RPM built successfully
$ fedpkg mockbuild # ✅ Mock build passed (x86_64, aarch64)
$ fedpkg push && fedpkg submit # 🚀 Submitted to Bodhi
> Update pushed to stable → reaching ~40M Fedora users
⚡ cuda_oxide::kernel::launch()
Currently exploring cuda-oxide an experimental Rust-to-CUDA compiler from NVIDIA Research that compiles safe(ish), idiomatic Rust directly to PTX. No CUDA C, no DSLs, no foreign bindings — just Rust running on the GPU.
| Grid | Block 0 | Block 1 | Block 2 | Block 3 |
|:---:|:---:|:---:|:---:|:---:|
| Warp 0..3 | 🟩🟩🟩🟩🟩🟩🟩🟩 | 🟦🟦🟦🟦🟦🟦🟦🟦 | 🟨🟨🟨🟨🟨🟨🟨🟨 | 🟥🟥🟥🟥🟥🟥🟥🟥 |
| SIMT | *all threads run the same instruction* | ← | ← | ← |
rust
// 🦀 Safe(ish) GPU kernel — Rust compiles straight to PTX
#[kernel]
pub unsafe fn vector_add(a: &[f32], b: &[f32], c: &mut [f32]) {
let tid = thread::index_1d() as usize;
if tid < c.len() {
c[tid] = a[tid] + b[tid]; // thousands of threads, one instruction
}
}
console
$ cargo build --target nvptx64-nvidia-cuda
Compiling cuda-kernel v0.1.0
✅ Rust -> LLVM IR -> PTX (no CUDA C required)
✅ Kernel compiled: vector_add.ptx
✅ Loaded onto device: NVIDIA GPU
> Launching 4096 threads across 128 warps...
> All threads converged. ✅
> Status: still learning — but the 🦀 loves the GPU
🔧 deploy::stack()
python
stack = {
"backend": ["Python", "FastAPI", "Django", "Flask"],
"mobile": ["Kotlin", "Flutter", "ARCore", "MediaPipe", "Firebase"],
"inference": ["ONNX Runtime", "TensorRT", "ExecuTorch", "ncnn", "Vulkan"],
"training": ["PyTorch", "Ultralytics", "TensorFlow", "JAX", "Keras"],
"gpu": ["CUDA", "cuda-oxide", "PTX", "NVIDIA TensorRT"],
}
On the backend, I primarily use Python, while on the mobile side, I work with Kotlin and Flutter, leveraging Google technologies such as ARCore, MediaPipe, Firebase, FlatBuffers, ONNX Runtime, and ncnn.
On the ML side, I work extensively with Ultralytics, where I am a Senior Machine Learning Engineer, developing and maintaining cutting-edge computer vision tools and YOLO models. My primary deep learning framework is PyTorch, which I use for model training, fine-tuning, and deployment workflows.
I also contribute to related open-source projects such as ExecuTorch an efficient on-device inference framework from PyTorch, and ONNXSlim a lightweight ONNX optimization toolkit.
In addition, I have experience with other frameworks like TensorFlow, TensorBoard, Keras, and JAX, which I occasionally use for experimentation and cross-framework integration.
🌍 oss::contributions()
rust
let platforms = vec!["GitHub", "GitLab", "Pagure"];
let mission = "build together — make open source better for everyone 🌍";
In addition to my diverse skill set, I am actively contributing and co-maintaner to a computer vision project named sahi is an open-source project that provides a simple and efficient way to perform slicing-based inference for object detection models. It is designed to work with various deep learning frameworks and models, making it a versatile tool for computer vision tasks. In past I was a co-maintaner to Supervision. Supervision is dedicated to crafting reusable computer vision tools tailored to a wide array of needs. These projects are embodies my commitment to advancing the field of computer vision, offering robust solutions that empower developers and researchers alike.
I am also contributing various FLOSS and OSS projects around GitHub/Gitlab/Pagure and other platforms to make everyone happy and doing better projects together.
🌱 Hacktoberfest Journey
I’ve proudly participated in Hacktoberfest every year since 2022, completing four consecutive years (2022, 2023, 2024, 2025).
Through this journey, I’ve contributed dozens of PRs, met inspiring developers from around the world, and grown both technically and personally.
💚 For me, Hacktoberfest isn’t just about code, it’s about people, learning, and giving back to the community. I’m also part of the Holopin x Hacktoberfest: 10 Badge Club, celebrating those who’ve contributed continuously since 2022. And yes, somewhere out there, a tree is growing in my name — a small but meaningful reminder that code can make a difference beyond the screen 🌍.
🧩 Let’s Connect
I’m always open to collaborating, contributing, or just talking about open source, computer vision, and AI.
Feel free to reach out or check out my latest work here on GitHub! 🚀
Here is my Arsenal Tools and Skills I use;
Programming
Backend-as-a-Service (Baas)
Web Servers
Framework & Libraries
<img alt="PyTorch" src="https://img.shie
…
-
SWPyMacros ▣
Solidworks Python Macro List
Python ★ 63 4y agoExplain → -
GFPGAN-ncnn-vulkan
[WIP] NCNN with Vulkan implementation of GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration
C++ ★ 53 2d agoExplain → -
CvCamera-Mobile
Using OpenCv's Android Camera2(JavaCamera2View) with OpenCV 4.10.0
Kotlin ★ 50 17h agoExplain → -
trackforge
Unified, high-performance computer vision tracking library
Rust ★ 27 12h agoExplain → -
kopikatAPI
KopikatAPI is Python library for interacting with the Kopikat API.
Python ★ 17 5d agoExplain → -
litert-lm-cookbook
No description.
Jupyter Notebook ★ 12 1mo agoExplain → -
DepthAiAndroidToolbox
DepthAi Android Toolbox Application For OAK-D Devices
C++ ★ 11 2y agoExplain → -
yuko
Yuko is a Python package that provides Rust-backed validators for common validation tasks.
Rust ★ 10 5d agoExplain → -
android-rust-template-app
No description.
Kotlin ★ 9 10mo agoExplain → -
colabsh
CLI tool for Google Colab - execute code and interact with Colab from the terminal
Python ★ 8 1d agoExplain → -
mmyolo ⑂
OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.
Python ★ 7 2y agoExplain → -
onuralpszr
My GitHub profile information
Python ★ 6 19h agoExplain → -
AndroidRustCVCam
Android's Jetpack Compose with Rust and OpenCV by using Android Camera
Kotlin ★ 5 2y agoExplain → -
egui-node-graph-fork
Egui Node Graph Project Fork with Fixes
Rust ★ 4 5d agoExplain → -
uptime
📈 Uptime monitor and status page for Onuralp SEZER, powered by @upptime
Markdown ★ 3 13h agoExplain → -
supervision ⑂
A set of easy-to-use utils that will come in handy in any Computer Vision project
Python ★ 2 4mo agoExplain → -
OAKD_Camera_Virtualcam
Use OAK-D Camera as Virtual Webcam in Linux
C++ ★ 2 1y agoExplain → -
Lotus ⑂
Official Implementation of Lotus: Diffusion-based Visual Foundation Model for High-quality Dense Prediction
Python ★ 2 1y agoExplain → -
CvCamera-Mobile-JetpackCompose
Android OpenCV with Jetpack Compose
Kotlin ★ 2 3y agoExplain → -
gst-meet ⑂
Connect GStreamer pipelines to Jitsi Meet conferences
★ 1 2y agoExplain → -
gemma-cookbook ⑂
A collection of guides and examples for the Gemma open models from Google.
★ 1 1y agoExplain → -
executorch ⑂
On-device AI across mobile, embedded and edge for PyTorch
Python ★ 1 7mo agoExplain → -
screensuite ⑂
ScreenSuite - The most comprehensive benchmarking suite for GUI Agents!
★ 1 1y agoExplain → -
musepipe
Musepipe is mediapipe based on library with extended ability
Python ★ 1 5d agoExplain → -
inference ⑂
An opinionated tool for running inference on state-of-the-art computer vision models.
Python ★ 1 1y agoExplain → -
Shopr ⑂
No description.
Kotlin ★ 1 1y agoExplain → -
ncnn ⑂
ncnn is a high-performance neural network inference framework optimized for the mobile platform
★ 1 1y agoExplain → -
GeoSpatial_Env_ETL_Analysis ⑂
🌍🔍 Comprehensive GeoSpatial environmental data analysis, focusing on dissolved carbon & greenhouse gases. Includes advanced data processing, analysis, and budget optimization.
★ 1 1y agoExplain → -
samv2-pip
Segmentation Anything v2 Pypi Package
Jupyter Notebook ★ 1 1y agoExplain → -
hoverboard ⑂
Conference website template
★ 1 1y agoExplain → -
chat-with-mlx ⑂
Chat with your data natively on Apple Silicon using MLX Framework.
Python ★ 1 2y agoExplain → -
kde_controlcentre ⑂
A control centre for KDE inspired by MacOS!
QML ★ 1 3y agoExplain → -
kotlindl-app-sample ⑂
This repo demonstrates how to use KotlinDL for neural network inference on Android devices.
Kotlin ★ 1 2y agoExplain → -
nvjetson-orin-dev
Nvidia jetson orin nano development setup
★ 1 2y agoExplain → -
depthai-core-example ⑂
CMake C++ example project using depthai library
CMake ★ 1 3y agoExplain → -
hailo_model_zoo ⑂
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
★ 0 13d agoExplain → -
sahi-feedstock ⑂
A conda-smithy repository for sahi.
★ 0 13d agoExplain → -
open-code-review ⑂
Battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in fine-tuned ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
★ 0 21d agoExplain → -
sahi ⑂
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Python ★ 0 20d agoExplain → -
ultralytics ⑂
YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
Python ★ 0 20d agoExplain → -
transformers ⑂
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Python ★ 0 10d agoExplain → -
rust_minifb ⑂
Cross platfrom window and framebuffer crate for Rust
★ 0 29d agoExplain → -
instant ⑂
A std::time::Instant replacement that works on WASM too.
★ 0 2y agoExplain → -
diffusers ⑂
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Python ★ 0 1mo agoExplain → -
ort ⑂
Fast ML inference & training for ONNX models in Rust
Rust ★ 0 1mo agoExplain → -
cuda-oxide ⑂
cuda-oxide is an experimental Rust-to-CUDA compiler that lets you write (SIMT) GPU kernels in safe(ish), idiomatic Rust. It compiles standard Rust code directly to PTX — no DSLs, no foreign language bindings, just Rust.
★ 0 1mo agoExplain → -
lola ⑂
Lola is able to package AI Context Modules or skills into a distributed package to be supported across multiple AI assistants. Think of your skill as the RPM package and Lola as the YUM/DNF. Write your skills once, run everywhere.
★ 0 1mo agoExplain → -
flashinfer ⑂
FlashInfer: Kernel Library for LLM Serving
★ 0 2mo agoExplain → -
samurai ⑂
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
★ 0 1y agoExplain → -
EUPE ⑂
Efficient Universal Perception Encoder: a single on-device vision encoder with versatile representations that match or exceed specialized experts across multiple task domains.
★ 0 2mo agoExplain → -
claude-codex-settings ⑂
My personal Claude Code and OpenAI Codex setup with battle-tested skills, plugins, hooks and agents that I use daily.
★ 0 2mo agoExplain → -
yolo-dataset-quality-analysis ⑂
A repository to analyse the quality of your YOLO dataset
Python ★ 0 2mo agoExplain → -
kudos ⑂
openSUSE Kudos recognition software
JavaScript ★ 0 3mo agoExplain → -
fiftyone ⑂
Refine high-quality datasets and visual AI models
Python ★ 0 4mo agoExplain → -
daggr ⑂
Chain apps and models to build robust AI workflows 🤗
★ 0 4mo agoExplain → -
wlx-overlay-s ⑂
Access your Wayland/X11 desktop from Monado/WiVRn/SteamVR. Now with Vulkan!
★ 0 1y agoExplain → -
ComfyUI ⑂
The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
★ 0 2y agoExplain → -
OnnxSlim ⑂
A Toolkit to Help Optimize Onnx Model
Python ★ 0 5mo agoExplain → -
pyDeprecate ⑂
Smoothly deprecate and redirect Python functions/classes with smart warnings and auto-routing—keep your codebase clean while maintaining backward compatibility
Python ★ 0 2mo agoExplain → -
TensorRT ⑂
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
★ 0 6mo agoExplain → -
gradio ⑂
Create UIs for your machine learning model in Python in 3 minutes
Python ★ 0 6mo agoExplain → -
actions ⑂
Ultralytics GitHub Actions
Python ★ 0 7mo agoExplain → -
flashpack ⑂
High-throughput tensor loading for PyTorch
★ 0 7mo agoExplain → -
review-fork-readme
No description.
★ 0 7mo agoExplain → -
yolo-flutter-app ⑂
Flutter plugin for Ultralytics YOLO
★ 0 9mo agoExplain → -
yolo-ios-app ⑂
Ultralytics YOLO iOS App source code for using YOLO in your own iOS apps!
Swift ★ 0 9mo agoExplain → -
ultralytics-feedstock ⑂
A conda-smithy repository for ultralytics.
★ 0 9mo agoExplain → -
openvino_build_deploy ⑂
Pre-built components and code samples to help you build and deploy production-grade AI applications with the OpenVINO™ Toolkit from Intel
Jupyter Notebook ★ 0 9mo agoExplain → -
assets ⑂
Ultralytics assets
★ 0 1y agoExplain → -
hub-sdk ⑂
SDK for Ultralytics HUB
★ 0 10mo agoExplain → -
replicate ⑂
Deploy YOLO models to Replicate with ready-to-use Cog configurations and automated CI/CD. Includes optimized deployments for YOLO11, and reference implementations for custom model deployment.
★ 0 10mo agoExplain → -
trackers ⑂
A unified library for object tracking featuring clean room re-implementations of leading multi-object tracking algorithms
Python ★ 0 7mo agoExplain → -
mkdocs ⑂
Project documentation with Markdown.
★ 0 10mo agoExplain → -
handbook ⑂
A guide to Ultralytics' mission, vision, values, and practices, providing key insights and resources for aligning with our goals.
★ 0 10mo agoExplain → -
ultralytics-notebooks ⑂
Ultralytics Notebooks 🚀
Jupyter Notebook ★ 0 11mo agoExplain → -
news-o-o ⑂
📰 News from the openSUSE Land
HTML ★ 0 11mo agoExplain → -
pytorch ⑂
Tensors and Dynamic neural networks in Python with strong GPU acceleration
★ 0 11mo agoExplain → -
oSC2025-talks-workshops
openSUSE Conference 2025 Workshop and Talks
Jupyter Notebook ★ 0 5d agoExplain → -
workshops ⑂
Various workshop content
★ 0 1y agoExplain → -
quiz ⑂
A goal of this project is to provide openSUSE booth staff with a local instance of a quiz
JavaScript ★ 0 1y agoExplain → -
firerequests ⑂
High-performance, asynchronous Python HTTP client library designed for faster file transfers using concurrency, semaphores, and fault-tolerant features.
★ 0 1y agoExplain → -
rf-detr ⑂
RF-DETR is a real-time object detection model architecture developed by Roboflow, released under the Apache 2.0 license.
Python ★ 0 1y agoExplain → -
transformers.js ⑂
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
JavaScript ★ 0 1y agoExplain → -
opencv ⑂
Open Source Computer Vision Library
C++ ★ 0 1y agoExplain → -
supervision-code-snippets
No description.
★ 0 1y agoExplain → -
computer-vision-course ⑂
This repo will become the homebase of a course on Computer Vision with Neural Networks
★ 0 2y agoExplain → -
cookbook ⑂
Open-source AI cookbook
Jupyter Notebook ★ 0 1y agoExplain → -
Callytics ⑂
Callytics is an advanced call analytics solution that leverages speech recognition and large language models (LLMs) technologies to analyze phone conversations from customer service and call centers.
Python ★ 0 1y agoExplain → -
FilamentTriangle
Simple App for creating openGL Triangle with using Filament usage in kotlin.
Kotlin ★ 0 3y agoExplain → -
codelab-geospatial ⑂
No description.
Java ★ 0 3y agoExplain → -
jetson-generative-ai-playground ⑂
No description.
★ 0 1y agoExplain → -
AndroidXRF1Tracks ⑂
No description.
★ 0 1y agoExplain → -
kmp-developer-roadmap ⑂
🗺 The Kotlin Multiplatform Developer Roadmap offers comprehensive learning paths to help you understand KMP ecosystems.
★ 0 1y agoExplain → -
android-developer-roadmap ⑂
🗺 The Android Developer Roadmap offers comprehensive learning paths to help you understand Android ecosystems.
★ 0 1y agoExplain → -
TensorRT-LLM ⑂
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.
C++ ★ 0 1y agoExplain → -
transformers.js-examples ⑂
A collection of 🤗 Transformers.js demos and example applications
★ 0 1y agoExplain → -
notebooks ⑂
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Jupyter Notebook ★ 0 1y agoExplain → -
opencv-python ⑂
Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.
Python ★ 0 1y agoExplain → -
SAMPart3D ⑂
SAMPart3D: Segment Any Part in 3D Objects
★ 0 1y agoExplain → -
supervision-feedstock ⑂
A conda-smithy repository for supervision.
★ 0 1y agoExplain → -
linuxwave ⑂
Generate music from the entropy of Linux 🐧🎵
★ 0 1y agoExplain → -
mkdocs-git-committers-plugin-2 ⑂
MkDocs plugin for displaying a list of GitHub (.com or Enterprise) contributors on each page. Encourages contributions to the documentation!
★ 0 1y agoExplain → -
staged-recipes ⑂
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Python ★ 0 1y agoExplain → -
multimodal-maestro ⑂
streamline the fine-tuning process for multimodal models: PaliGemma, Florence-2, Phi-3.5 Vision
Python ★ 0 1y agoExplain → -
YOLOv6 ⑂
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
★ 0 1y agoExplain → -
model-leaderboard ⑂
Which model is the best at object detection? Which is best for small or large objects? We compare the results in a handy leaderboard.
Python ★ 0 1y agoExplain → -
sapiens ⑂
High-resolution models for human tasks.
★ 0 1y agoExplain → -
EVF-SAM ⑂
Official code of "EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model"
Python ★ 0 1y agoExplain → -
head_detector ⑂
Official repo for VGGHeads: A Large-Scale Synthetic Dataset for 3D Human Heads.
Python ★ 0 1y agoExplain → -
LibreCuda ⑂
No description.
C ★ 0 1y agoExplain → -
krustie ⑂
A very basic Backend framework for Rust. Since it is a hobby project, it is not recommended to use it for deployment.
Rust ★ 0 1y agoExplain → -
segment-anything-2 ⑂
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Jupyter Notebook ★ 0 1y agoExplain → -
LeYOLO ⑂
No description.
Python ★ 0 1y agoExplain → -
opengm ⑂
open source group manager, previously part of openSUSE defrag
Python ★ 0 1y agoExplain → -
opentr-github-page ⑂
Common GitHub settings for all repos in the org
★ 0 1y agoExplain → -
cheatsheet-supervision ⑂
Supervision cheatsheet website, coded up in Svelte
★ 0 1y agoExplain → -
DA-Wand ⑂
Maps a user-selected point to a segmentation which induces a low distortion parameterization
★ 0 2y agoExplain → -
YOLO-World ⑂
Real-Time Open-Vocabulary Object Detection
Python ★ 0 1y agoExplain → -
OpenTR ⑂
OpenTR website
HTML ★ 0 1y agoExplain → -
big-tech-financial-insights ⑂
🚀 A comprehensive project analyzing Big Tech stock prices using time series analysis, volatility modeling, and macroeconomic indicators. Featuring interactive dashboards and automated reporting! 📈💼
★ 0 2y agoExplain → -
xen-orchestra-podman-ctlinux ⑂
Xen Orchestra in a CentoS-9 podman container
Dockerfile ★ 0 2y agoExplain → -
xen-orchestra-podman ⑂
Xen Orchestra in a CentoS-9 podman container
Dockerfile ★ 0 2y agoExplain → -
mediapipe ⑂
Cross-platform, customizable ML solutions for live and streaming media.
C++ ★ 0 3y agoExplain → -
mediapipe-samples ⑂
No description.
★ 0 3y agoExplain → -
llm.c ⑂
LLM training in simple, raw C/CUDA
★ 0 2y agoExplain → -
SSLci ⑂
SSL Sertifikası geçerlilik süresi kontrolü
★ 0 2y agoExplain → -
cvat ⑂
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
★ 0 2y agoExplain → -
awesome-osml-for-devs ⑂
List of resources, libraries and more for developers who would like to build with open-source machine learning off-the-shelf
★ 0 2y agoExplain → -
yolov9 ⑂
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Python ★ 0 2y agoExplain → -
python-multipart ⑂
A streaming multipart parser for Python.
Python ★ 0 2y agoExplain → -
mkdocs-jupyter ⑂
Use Jupyter Notebook in mkdocs
★ 0 2y agoExplain → -
mkdocs-material ⑂
Documentation that simply works
HTML ★ 0 2y agoExplain → -
fedora-rs ⑂
rust base library for interacting with fedora services
★ 0 2y agoExplain → -
ureq ⑂
A simple, safe HTTP client
★ 0 2y agoExplain → -
buck2 ⑂
Build system, successor to Buck
★ 0 2y agoExplain → -
egui ⑂
egui: an easy-to-use immediate mode GUI in Rust that runs on both web and native
★ 0 2y agoExplain → -
egui_node_graph ⑂
Build your node graph applications in Rust, using egui
★ 0 2y agoExplain → -
qudida ⑂
QUick and DIrty Domain Adaptation
★ 0 2y agoExplain → -
candle ⑂
Minimalist ML framework for Rust
Rust ★ 0 2y agoExplain → -
supervision-annotators-hf-space ⑂
Demo of Annotators through Gradio
Python ★ 0 2y agoExplain → -
ugrep ⑂
Ugrep 4.3: an ultra fast, user-friendly, compatible grep. Ugrep combines the best features of other grep, adds new features, and searches fast. Includes a TUI and adds Google-like search, fuzzy search, hexdumps, searches nested archives (zip, tar, pax, cpio), compressed files (gz, Z, bz2, lzma, xz, lz4, zstd, brotli), pdfs, docs, and more
★ 0 2y agoExplain → -
avdmanager_rust ⑂
No description.
Rust ★ 0 2y agoExplain → -
awesome-foundation-and-multimodal-models ⑂
👁️ + 💬 + 🎧 = 🤖 Curated list of top foundation and multimodal models! [Paper + Code]
★ 0 2y agoExplain → -
responder ⑂
A familiar HTTP Service Framework for Python.
Python ★ 0 2y agoExplain → -
3DFaceReconstruction-LAP ⑂
The code of paper 'Learning to Aggregate and Personalize 3D Face from In-the-Wild Photo Collection'
★ 0 5y agoExplain → -
Workbench ⑂
Learn and prototype with GNOME technologies 🛠️
JavaScript ★ 0 3y agoExplain → -
openlenda ⑂
No description.
★ 0 2y agoExplain → -
Real-ESRGAN-ncnn-vulkan ⑂
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
C ★ 0 2y agoExplain → -
fastapi-rocket-boilerplate ⑂
🐍💨 FastAPI Rocket Boilerplate to build an API based in Python with its most modern technologies!
★ 0 2y agoExplain → -
superboard ⑂
A mirror of https://gitlab.com/frknkrc44/superboard. Please do everything on my GitLab repository.
Java ★ 0 2y agoExplain → -
NNPACK ⑂
Acceleration package for neural networks on multi-core CPUs
★ 0 3y agoExplain → -
fedora-nnpack
nnpack packaging work for Fedora
★ 0 2y agoExplain → -
strimzi-kafka-cli ⑂
Command Line Interface for the Strimzi Kafka Operator
Python ★ 0 2y agoExplain → -
GDMP ⑂
Godot plugin for MediaPipe framework and solutions
★ 0 2y agoExplain → -
roboflow-python ⑂
The official Roboflow Python package.
Python ★ 0 2y agoExplain → -
autodistill ⑂
Images to inference with no labeling (use foundation models to train supervised models)
★ 0 2y agoExplain → -
devops-toolbox ⑂
No description.
Dockerfile ★ 0 2y agoExplain → -
android_logger-rs ⑂
A Rust logging implementation for `log` which hooks to android log output
★ 0 2y agoExplain → -
opencv-rust ⑂
Rust bindings for OpenCV 3 & 4
Rust ★ 0 2y agoExplain → -
lss_eval ⑂
This is a new metric that can be used to evaluate faithfulness of text generated by LLMs. The work behind this repository can be found here
★ 0 2y agoExplain → -
sv_actions
No description.
★ 0 2y agoExplain → -
dockerfiles-scenario
No description.
Dockerfile ★ 0 2y agoExplain → -
GroundingDINO ⑂
Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
★ 0 2y agoExplain → -
pyproject-flake8 ⑂
pyproject-flake8 (pflake8), a monkey patching wrapper to connect flake8 with pyproject.toml configuration
Python ★ 0 2y agoExplain → -
ansible-semaphore-docs ⑂
Ansible Semaphore documentation
★ 0 2y agoExplain → -
turkish-bert ⑂
Turkish BERT/DistilBERT, ELECTRA and ConvBERT models
★ 0 2y agoExplain → -
api-inference-community ⑂
No description.
★ 0 2y agoExplain → -
pytorch-fedora ⑂
Fedora's beta pytorch.spec
★ 0 2y agoExplain → -
streamlit-dash
🖼️ An image select component for Streamlit
Python ★ 0 2y agoExplain → -
yoloexplorer ⑂
YOLOExplorer
Python ★ 0 2y agoExplain → -
EasyGPT-Langchain
⚡ EasyGPT-Langchain provides an easy and efficient way to get the job done. Sit back, relax, and let EasyGPT-Langchain take care of the heavy lifting! ⚡
★ 0 3y agoExplain → -
sam-hq ⑂
Segment Anything in High Quality
★ 0 3y agoExplain → -
shopping_py ⑂
Simple telegram bot for managing my shopping list
★ 0 3y agoExplain → -
DragGAN ⑂
Official Code for DragGAN (SIGGRAPH 2023)
★ 0 3y agoExplain → -
extension-manager ⑂
A utility for browsing and installing GNOME Shell Extensions.
★ 0 3y agoExplain → -
keras-io ⑂
Keras documentation, hosted live at keras.io
Jupyter Notebook ★ 0 3y agoExplain → -
mdapi-1 ⑂
A simple and fast API for serving the metadata from the RPM repositories.
★ 0 3y agoExplain → -
tf-keras-paper-implementations ⑂
No description.
Jupyter Notebook ★ 0 3y agoExplain → -
KerasFuse ⑂
No description.
Python ★ 0 3y agoExplain → -
dart-format-pre-commit ⑂
Format Dart code with pre-commit
Shell ★ 0 3y agoExplain → -
project-gameface ⑂
No description.
★ 0 3y agoExplain → -
unitympp
No description.
C# ★ 0 2y agoExplain → -
RayTracingInVulkan ⑂
Implementation of Peter Shirley's Ray Tracing In One Weekend book using Vulkan and NVIDIA's RTX extension.
C++ ★ 0 3y agoExplain → -
TreeMirror ⑂
TreeMirror is a Python program that creates a mirrored copy of a directory structure, allowing users to easily duplicate and transfer directory trees.
★ 0 3y agoExplain → -
flatbuffers ⑂
FlatBuffers: Memory Efficient Serialization Library
★ 0 3y agoExplain → -
mediapipe-silicon ⑂
Prebuilt Google MediaPipe packages for arm64.
Shell ★ 0 3y agoExplain → -
Multi-Thread-Camera-OpenCV ⑂
OpenCV Universal Multi thread video Interface with neglectable latency.
C++ ★ 0 3y agoExplain → -
archat ⑂
ARChat Chrome Extension for CHI 2023 Papers (Visual Captions, Text Stability)
★ 0 3y agoExplain → -
depthai-experiments ⑂
Experimental projects we've done with DepthAI.
★ 0 3y agoExplain → -
qt-virt-manager ⑂
Qt Virtual machines manager
★ 0 4y agoExplain → -
opencv-mobile ⑂
The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly
★ 0 3y agoExplain → -
MAXINE-AR-SDK ⑂
NVIDIA AR SDK - API headers and sample applications
★ 0 3y agoExplain → -
drivelist ⑂
List all connected drives in your computer, in all major operating systems
★ 0 3y agoExplain → -
rpi-imager ⑂
No description.
★ 0 3y agoExplain → -
openSUSE-docs-revamped-temp ⑂
We're creating new, refreshed community user guides and documentation for the openSUSE distributions, centered on Tumbleweed, catering for inexperienced users and veterans alike. Target release: 2021
★ 0 4y agoExplain → -
dotdevelop ⑂
MonoDevelop is a cross platform .NET IDE
★ 0 3y agoExplain → -
cockpit-certificates ⑂
(IN PROGRESS) certificate management plugin for cockpit
★ 0 3y agoExplain → -
asahi-fedora-builder ⑂
Builds a minimal Fedora image to run on Apple M1/M2 systems
★ 0 3y agoExplain → -
realsr-ncnn-vulkan ⑂
RealSR super resolution implemented with ncnn library
★ 0 3y agoExplain → -
vkroots ⑂
A stupid simple method of making Vulkan layers, at home!
★ 0 3y agoExplain →
No repos match these filters.