Wood1Zzz

Wood1Zzz's Stars

• shadowsocks/shadowsocks-windows

  A C# port of shadowsocks

  Language:C#58.4k2.5k2.9k16.4k

• scutan90/DeepLearning-500-questions

  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scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.6k2.2k18915.9k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.9k3119194.7k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.4k3392684k

• mli/paper-reading

  深度学习经典、新论文逐段精读

  26.7k72702.4k

• pjreddie/darknet

  Convolutional Neural Networks

  Language:C25.8k9102.4k21.3k

• AlexeyAB/darknet

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

  Language:C21.7k4838.3k8k

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  18k2912022.6k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.3k2201564.1k

• Megvii-BaseDetection/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/

  Language:Python9.4k761.5k2.2k

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.6k180111.3k

• SharingSource/LogicStack-LeetCode

  公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码

  7.3k7822957

• HMBSbige/ShadowsocksR-Windows

  Ship of Theseus

  Language:C#7k14801.1k

• princewen/tensorflow_practice

  tensorflow实战练习，包括强化学习、推荐系统、nlp等

  Language:Python6.7k223673.3k

• amusi/AI-Job-Notes

  AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

  5.2k13110639

• datawhalechina/competition-baseline

  数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路

  Language:Jupyter Notebook4.3k88241.1k

• Tramac/awesome-semantic-segmentation-pytorch

  Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

  Language:Python2.8k42203582

• ndrplz/self-driving-car

  Udacity Self-Driving Car Engineer Nanodegree projects.

  Language:C++2.8k149321.4k

• bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets

  Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet

  Language:Python1.9k1666345

• TommyZihao/zihao_course

  同济子豪兄的公开课

  1.5k211187

• open-mmlab/mmrazor

  OpenMMLab Model Compression Toolbox and Benchmark.

  Language:Python1.5k20274227

• ShanghaiTechAIClub/DLInterview

  Deep Learning Interview 深度学习面试题目汇总

  1.1k424202

• jeya-maria-jose/Medical-Transformer

  Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

  Language:Python801791176

• phamquiluan/ResidualMaskingNetwork

  ICPR 2020: Facial Expression Recognition using Residual Masking Network

  Language:Python45284692

• sheqi/GAN_Review

  A Survey and Taxonomy of the Recent GANs Development，computer vision & time series

  44625476

• Hanqer/deep-hough-transform

  Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)

  Language:Python342125771

• bytedance/OMGD

  Online Multi-Granularity Distillation for GAN Compression (ICCV2021)

  Language:Python330122441

• qiulinzhang/TopPaper

  Classic papers for beginners, and impact scope for authors.

  2886045

• usef-kh/fer

  Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"

  Language:Jupyter Notebook9621134

• KeepTryingTo/Pytorch-GAN

  使用Pytorch实现GAN 的过程

  Language:Python484