snownus

snownus's Stars

• jwasham/coding-interview-university

  A complete computer science study plan to become a software engineer.

  304k8.8k44176.2k

• ultralytics/yolov5

  YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  Language:Python49.5k3689.2k16.1k

• extreme-assistant/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

  12.4k369842.3k

• mission-peace/interview

  Interview questions

  Language:Java11.1k1k875.2k

• sovrasov/flops-counter.pytorch

  Flops counter for convolutional networks in pytorch framework

  Language:Python2.8k1596309

• FLHonker/Awesome-Knowledge-Distillation

  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

  2.5k6112335

• yuanliangding/books

  "我的阅历"

  2.1k5821714

• Eric-mingjie/rethinking-network-pruning

  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

  Language:Python1.5k3354293

• Eric-mingjie/network-slimming

  Network Slimming (Pytorch) (ICCV 2017)

  Language:Python9071493214

• ModelTC/MQBench

  Model Quantization Benchmark

  Language:Shell75114196136

• ws13685555932/machine_learning_derivation

  notes of machine learning algorithm derivation

  7342413219

• d-li14/mobilenetv2.pytorch

  72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

  Language:Python6661125186

• naver/deep-image-retrieval

  End-to-end learning of deep visual representations for image retrieval

  Language:Python6352538100

• csyhhu/Awesome-Deep-Neural-Network-Compression

  Summary, Code for Deep Neural Network Quantization

  Language:Python52218381

• legolas123/cv-tricks.com

  Repository for all the tutorials and codes shared at cv-tricks.com

  Language:Python4664126579

• clovaai/overhaul-distillation

  Official PyTorch implementation of "A Comprehensive Overhaul of Feature Distillation" (ICCV 2019)

  Language:Python411113978

• liuzechun/MetaPruning

  MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.

  Language:Python35094174

• sseung0703/KD_methods_with_TF

  Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)

  Language:Python265131561

• yhhhli/APoT_Quantization

  PyTorch implementation for the APoT quantization (ICLR 2020)

  Language:Python26342651

• distillpub/post--momentum

  Why Momentum Really Works

  Language:JavaScript198127352

• youzhonghui/gate-decorator-pruning

  Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"

  Language:Jupyter Notebook194102527

• 1adrianb/binary-networks-pytorch

  Binarize convolutional neural networks using pytorch :fire:

  Language:Python13131113

• imatge-upc/skiprnn-2017-telecombcn

  Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks (ICLR 2018)

  Language:Python12410339

• phareskrad/algs4

  Programming Assignments & Job Interview Questions

  Language:Java7410330

• layog/Accurate-Binary-Convolution-Network

  Binary Convolution Network for faster real-time processing in ASICs

  Language:Jupyter Notebook544718

• Akimoto-Cris/RD_PRUNE

  [ICCV 2023] Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks

  Language:Python19330

• pberkes/neuro-kl

  Python and Matlab code to estimate KL divergence and entropy of neural data distributions

  Language:Python1810

• mbsariyildiz/resnet-pytorch

  Language:Python17305

• xindubawukong/LQ-Nets_Pytorch

  Language:Python9110

• gushan/SGDAT

  SGDAT: An Optimization Method for Binary Neural Networks

  Language:Python4