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machine-learning-notes

周志华《机器学习》手推笔记

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mobile-yolov5-pruning-distillation

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

nb

Neural Network Blocks - Collect all kinds of fancy model blocks for you to build more powerful neural network model.

ncnn-yolov4-int8

NCNN+Int8+YOLOv4 quantitative modeling and real-time inference

objectdetection_script

一些关于目标检测的脚本的改进思路代码，详细请看readme.md

opencv

✔（已完结）最全面的 OpenCV 笔记【咕泡唐宇迪】

opencvtutorials

OpenCV-Python4.1 中文文档

pelee

Pelee: A Real-Time Object Detection System on Mobile Devices

ppq

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

python-programming-exercises

100+ Python challenging programming exercises

python_reference

Useful functions, tutorials, and other Python-related things

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-networks

Pytorch implementation of cnn network

pytorch_simple_centernet_45

A simple pytorch implementation of CenterNet (Objects as Points)

pytorchnethub

项目注释+论文复现+算法竞赛

show-me-the-code

Python 练习册，每天一个小程序

simplecvreproduction

:punch: Reproduce simple cv project including attention module, classification, object detection, segmentation, keypoint detection, tracking :smile: etc.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

x-anylabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

yolo3-pytorch

这是一个yolo3-pytorch的源码，可以用于训练自己的模型。

yolou

YOLOv3、YOLOv4、YOLOv5、YOLOv5-Lite、YOLOv6、YOLOv7、YOLOX、YOLOX-Lite、TensorRT、NCNN、Tengine、OpenVINO

yolov3_pytorch

Full implementation of YOLOv3 in PyTorch

yolov5-distillation-train-inference

Yolov5 distillation training | Yolov5知识蒸馏训练，支持训练自己的数据

yolov5-lite

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

yolov5-multibackbone-compression

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.

yolov5prune

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

yolox-pytorch

这是一个yolox-pytorch的源码，可以用于训练自己的模型。