liukuikun

A lightweight framework for building LLM-based agents

InternLM has open-sourced a 7 billion parameter base model, a chat model tailored for practical scenarios and the training system.

Multimodal-GPT

OpenMMLab Text Detection, Recognition and Understanding Toolbox

OpenMMLab Foundational Library for Training Deep Learning Models

OpenMMLab Computer Vision Foundation

LLM-based Multi-agent Framework of AI Search Engine

No description.

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

Python - 100天从新手到大师

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论（STAT 157）”教材。

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

100-Days-Of-ML-Code中文版

Claude Code v2.1.88 Source Code

No description.

A Next-Generation Training Engine Built for Ultra-Large MoE Models

Heuristic filtering framework for RefineCode

The LLM Evaluation Framework

👑 LKKBlog.

No description.

:hammer:AI 方向好用的科研工具

A self-contained JavaScript wiki for the browser, Node.js, AWS Lambda etc.

Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models

Generate different roles for GPTs to form a collaborative entity for complex tasks.

data cleaning and curation for unstructured text

LMDeploy is a toolkit for compressing, deploying, and serving LLM

Hack OpenAI LLMs' System Prompts By Reverse Prompt Engineering

⚡ Building applications with LLMs through composability ⚡

Must-read papers on prompt-based tuning for pre-trained language models.

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

A curated list of prompt-based paper in computer vision and vision-language learning.

Must-read Papers of Parameter-Efficient Tuning (Delta Tuning) Methods on Pre-trained Models.

This repository contains datasets and baselines for benchmarking Chinese text recognition.

OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

A unified evaluation library for multiple machine learning libraries

Papers, Datasets, Algorithms, SOTA for STR. Long-time Maintaining

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

OpenMMLab Image Classification Toolbox and Benchmark

No description.

VS Code插件开发文档-中文版

OpenMMLab Model Deployment Framework

Open MMLab Detection Toolbox and Benchmark

Dense Prediction Transformers

Pytorch 中文文档

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for.

《Pytorch模型训练实用教程》中配套代码

TeachYourselfCS 的中文翻译 | A Chinese translation of TeachYourselfCS

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

A curated list of awesome synthetic data for text location and recognition

收集并整理有关OCR的数据集并统一标注格式，以便实验需要

程序员资料免费分享，欢迎关注个人微信公众号：程序员编程指南

CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！

LFD is a big update upon LFFD. Generally, LFD is a multi-class object detector characterized by lightweight, low inference latency and superior precision. It is for real-world appilcations.

A breakdown of NCNN

一个跨平台的，基于cmake的 C++空项目

Aggregation Cross-Entropy for Sequence Recognition. CVPR 2019.

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

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

Translation of C++ Core Guidelines [https://github.com/isocpp/CppCoreGuidelines] into Simplified Chinese.

PyTorch for Numpy users. https://pytorch-for-numpy-users.wkentaro.com

Yolov5 deepsort inference，使用YOLOv5+Deepsort实现车辆行人追踪和计数，代码封装成一个Detector类，更容易嵌入到自己的项目中

A scene text recognition toolbox based on PyTorch

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

Implementation of popular deep learning networks with TensorRT network definition API

C++ Primer 5 answers

A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

C++那些事

A collection of loss functions for medical image segmentation

Boundary-preserving Mask R-CNN (ECCV 2020)

implement yolo v1 by pytorch

an experiment for yolo-v1, including training and testing.

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Yolov1 pytorch implement

Code documentation written as code! How novel and totally my idea!

手把手撕LeetCode题目，扒各种算法套路的裤子，not only how，but also why. English version supported!

All Algorithms implemented in Python

数据结构和算法必知必会的50个代码实现

Python有趣的小例子一网打尽。Python基础、Python坑点、Python字符串和正则、Python绘图、Python日期和文件、Web开发、数据科学、机器学习、深度学习、TensorFlow、Pytorch，一切都是简单易懂的小例子。

Some useful tools written in python.

AdelaiDet is an open source toolbox for multiple instance-level detection applications.

Sandbox for training convolutional networks for computer vision

Rotated Mask R-CNN: From Bounding Boxes to Rotated Bounding Boxes

No description.

深度学习入门教程&&优秀文章&&Deep Learning Tutorial

A collection of useful .gitignore templates

Python 练习册，每天一个小程序

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

Text recognition (optical character recognition) with deep learning methods.

Pytorch implementation of CRAFT text detector

:books: Basic Knowledge of Technical Interview（技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计）

Implementation of our paper 'PixelLink: Detecting Scene Text via Instance Segmentation' in AAAI2018

Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.

Textboxes_plusplus implementation with Tensorflow (python)