wxmwm

EfficientFormer

EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

NLP_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

CVPR2024-Paper-Code-Interpretation

cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

HGCN

Source code of hypergraph convolutional network

Awesome-Skeleton-Based-Models

A systematic collection of various skeleton-based models (Datasets, Papers, Codes, Leaderboards).

Awesome-Skeleton-based-Action-Recognition

Skeleton-based Action Recognition

yolov4-pytorch

这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

darknet

Convolutional Neural Networks

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

YOLO-Reproduce-Summary

YOLO reproduce summary (now based on YOLOv3)

yolov4

object detection , yolov4(pytorch)

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

YOLOv1

提供了预训练权重

yolo_1_pytorch

simplest implementation of yolo v1 via pytorch

yolov5-v1-chinese-comment

yolov5 v1版本中文注释

pytorch-YOLO-v1

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

FOD-data

A dataset of foreign object debris (FOD) designed for computer vision applications.

ResNet-Regularization-Pruning

An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.

mmrazor

OpenMMLab Model Compression Toolbox and Benchmark.

Awesome-Pruning

A curated list of neural network pruning resources.

awesome_lightweight_networks

The implementation of various lightweight networks by using PyTorch. such as：MobileNetV2，MobileNeXt，GhostNet，ParNet，MobileViT、AdderNet，ShuffleNetV1-V2，LCNet，ConvNeXt，etc. ⭐⭐⭐⭐⭐

Awesome-Deep-Neural-Network-Compression

Summary, Code for Deep Neural Network Quantization

awesome-model-compression-and-acceleration

a list of awesome papers on deep model ompression and acceleration

Awesome-model-compression-and-acceleration

Machine_Learning_Code_Implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Deep-Learning-with-TensorFlow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

st-gcn

Spatial Temporal Graph Convolutional Networks (ST-GCN) for Skeleton-Based Action Recognition in PyTorch

DeepLearning_tutorials

The deeplearning algorithms implemented by tensorflow