vfdev

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Datasets, Transforms and Models specific to Computer Vision

Minimalistic set of image reader agnostic tools to easily iterate over large images

Observe the dataset of images and targets in few shots

Unsupervised Data Augmentation experiments in PyTorch

Implementation of FixMatch in PyTorch and experimentations

Bootstrapping loss function implementation in pytorch

Simple video to frames converter using Opencv

QEMU emulation ARMv7

SAR Raw data Imagery simulator in python

Examples with ignite https://github.com/pytorch/ignite

[WIP] Demonstration of training a small ResNet on CIFAR10 to 94% test accuracy in less 20 epochs

MoveGroup tutorial for UR5 (python interface)

Python configuration file and command line executable to run a script with.

PyTorch Community Voices 2021 - PyTorch-Ignite slides

Open-source code to work with geo images

PyTorch framework - my examples

[WIP] Rotated bbox RFBNet

Layer Rotation experiments in PyTorch

Notebooks to reproduce [CoordConv paper](https://arxiv.org/abs/1807.03247) using PyTorch framework and Ignite

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

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Training/evaluation pipeline for Pascal VOC2012, Pytorch/Ignite/Polyaxon

Preprint paper to introduce PyTorch-Ignite library

Helper project to compile python leveldb wrapper under Windows using CMake

Example of geolocation example with Ionic 2

Another concepts for vision transforms for PyTorch/Torchvision

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This is a 'Magic 8-ball' android application.

my datascience dockerfiles

Kinect navigation with RTabMap

Repository to play with Github actions

Seamless operability between C++11 and Python

An RTSP bridge to Reolink IP cameras

[WIP] NNCpp - Neural Networks in C++ with CUDA ops

https://gist.github.com/pmeier/09dfb12c6ebfc8ab0a7ca18de8449707

Prototype Torch Interpolate with TensorIterator

Neural networks architecture cheat-sheet

Slides for Python Bucaramanga meetup

Prototype Torch Interpolate with anti-aliasing

PyTorch dispatcher playground

Some tools to quickly read geographical images and iterate over the image content by tiles

Fork of Keras community contributions

UNOSAT Challenge

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PyTorch/Ignite Experiments tracking with MLFlow

PyTorch implementation of RL for learning rate control paper

Pollenating insects (third) RAMP starting kit

Flax is a neural network library for JAX that is designed for flexibility.

Minimal, lightweight JAX implementations of popular models.

MiroFlow is an agent framework that enables tool-use agent tasks, featuring a reproducible GAIA score of 82.4%.

NumFOCUS Google Summer of Code Materials

Python library for analyzing data quality and its impact on model performance across classification and object-detection tasks.

Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs

A python client for http://pushbullet.com

Model interpretability and understanding for PyTorch

Hierarchical Reasoning Model Official Release

Orbax provides common checkpointing and persistence utilities for JAX users

The simplest, fastest repository for training/finetuning small-sized VLMs.

🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

The Python programming language

Make websites accessible for AI agents

Docs, Snippets, Guides

Bazel Python Rules

OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

nanobind: tiny and efficient C++/Python bindings

System76 Open Source Embedded Controller

SciPy library main repository

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A central repository to keep track of the status of work on and support for free-threaded CPython (see PEP 703), with a focus on the scientific and ML/AI ecosystem

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

A stand-alone implementation of several NumPy dtype extensions used in machine learning.

A machine learning compiler for GPUs, CPUs, and ML accelerators

Segmentation models with pretrained backbones. PyTorch.

Web User Interface for OpenVPN

The open-source tool for building high-quality datasets and computer vision models

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

High-Level Training, Data Augmentation, and Utilities for Pytorch

Powerful and efficient Computer Vision Annotation Tool (CVAT)

Library to perform efficient vision data augmentations for CPU/GPU per-sample/batched data.

Image processing in Python

OpenCV filters are managed using a pipeline for webcam image processsing; VideoInput library is used

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Web Application to generate your training scripts with PyTorch Ignite

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Source code for the Streamlit Python library documentation

WIP on PyTorch vectorized interpolate for uint8

AI Toolkit for Healthcare Imaging

:books: Freely available programming books

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Torchvision API v2 Benchmarks

Wifi dongle drivers installer Realtek-RTL8192EU with a modification for ARM

Policies, Configurations, and Documentation of NumFOCUS Managed Infrastructure

my playground for generative modeling

A system for parallel and distributed Python that unifies the ML ecosystem.

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

A Python library that implements software engineering best-practice for data and ML pipelines.

functorch is a prototype of JAX-like composable function transforms for PyTorch.

JupyterLite demo deployed to GitHub Pages 🚀

matplotlib: plotting with Python

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Native features for mobile apps built with Cordova/PhoneGap and open web technologies. Complete with TypeScript support. The successor to ngCordova. Pairs exquisitely with a nice bottle of Ionic Framework.

Stochastic Dual Dynamic Programming in Julia

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Make your first open-source contribution.

Simple formula parser using Shunting-yard algorithm

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Training jobs examples for TrainML platform

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Example Streamlit app that you can fork to test out share.streamlit.io

Supporting materials for Google's Season of Docs 2021

Introduction and experimentations with ViT

PyTorch bindings for oneCCL

PyTorch extensions for high performance and large scale training.

Gin provides a lightweight configuration framework for Python

Brevitas: quantization-aware training in Pytorch

🧙 A web app to generate template code for machine learning

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

🦄 State-of-the-Art Conversational AI with Transfer Learning

High performance motor control

Utilities for Dask and CUDA interactions

Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

Real-time 6 DOF grasp detection in clutter.

Modin: Speed up your Pandas workflows by changing a single line of code

Practical volume computation and sampling in high dimensions

Easy flexible library for training neural networks in PyTorch

Inferring Python API signatures from downstream usage

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Development site and blog for Quansight Labs

📝 Field notes for running sprints!

🌄Open Source AI Landscape: This interactive landscape similar to that of the CNCF Landscape (https://l.cncf.io/) that sorts through open source AI, ML and DL projects, and shows details including GitHub stars, funding or market cap, first and last commits, contributor count and many more.

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

Enabling PyTorch on Google TPU

Python Optimal Transport library

Using approximate bayesian posteriors in deep nets for active learning

Toulouse Data Science Journal Club: notes, papiers présentés, notebooks explorés

GDAL is an open source X/MIT licensed translator library for raster and vector geospatial data formats.

fast image augmentation library and easy to use wrapper around other libraries

A PyTorch implementation of EfficientNet

Adaptive Experimentation Platform

PyTorch Meta-learning Framework for Researchers

Testing repository for artifacts auto build/upload on conda and pipy when tag

My website forked from https://github.com/mmistakes/minimal-mistakes

An easy to use PyTorch to TensorRT converter

torchbearer: A model training library for PyTorch

Kaggle Python docker image

Data loaders and abstractions for text and NLP

Gluon CV Toolkit

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.

Repository for the article "Unsupervised domain adaptation for medical imaging segmentation with self-ensembling".

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

DeepLab v3+ model in PyTorch. Support different backbones.

Command line interface for Polyaxon

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Scripting basic example

Models pre-trained on ImageNet and code for DNNs analysis

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Code for polyaxon tutorials and examples

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

A platform for reproducible and scalable machine learning and deep learning on kubernetes

Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.

A flexible, high-performance serving system for machine learning models

Python modules for GQ-CNN training and deployment, with ROS integration

C++ extensions in PyTorch

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Open source platform for the complete machine learning lifecycle

ROS-Industrial universal robot meta-package (http://wiki.ros.org/universal_robot)

Pytorch implementation of CoordConv introduced in 'An intriguing failing of convolutional neural networks and the CoordConv solution' paper. (https://arxiv.org/pdf/1807.03247.pdf)

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Data Challenge on Autism Spectrum Disorder detection

A standalone script for automated building and deploying of sphinx docs via travis-ci

Autogenerate API docs from source in markdown

Neural Network Toolbox on TensorFlow

Toolkit for building predictive workflows on the top of pandas and scikit-learn.

OpenDataScience Machine Learning course. Both in English and Russian

The code for my custom BLDC controller.

Utilities for processing the xView dataset

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

tensorboard for pytorch (and chainer, mxnet, numpy, ...)

scikit-learn cross validators for iterative stratification of multilabel data

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The friendly PIL fork (Python Imaging Library)

A short guide on features of Python 3

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Python, Java implementation of TS-SS called from "A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering"

Models and examples built with TensorFlow

Pollenating insects (third, simplified workflow) RAMP starting kit

Keras Implementation of Google's Inception-V4 Architecture (includes Keras compatible pre-trained weights)

Use TensorFlow efficiently

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