HANSHAN123's starred repositories
face-parsing.PyTorch
Using modified BiSeNet for face parsing in PyTorch
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
Network-Speed-and-Compression
Network acceleration methods
Silent-Face-Anti-Spoofing
静默活体检测（Silent-Face-Anti-Spoofing）
temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
GitHub-Chinese-Top-Charts
:cn: GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
Data-Structure
《数据结构》-严蔚敏.吴伟民-教材源码与习题解析
algorithm-pattern
算法模板，最科学的刷题方式，最快速的刷题路径，你值得拥有~
kityminder-editor
Powerful Mindmap Editing Tool
micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
face_recognition
🍎 My own face recognition with deep neural networks.
Awesome-pytorch-list-CNVersion
Awesome-pytorch-list 翻译工作进行中......
Face-Detector-1MB-with-landmark
1M人脸检测模型(含关键点)
algorithm-visualizer
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
awesome-awesomeness
A curated list of awesome awesomeness
awesome-programming-books
经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等
free-programming-books
:books: Freely available programming books
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
learnable-triangulation-pytorch
This repository is an official PyTorch implementation of the paper "Learnable Triangulation of Human Pose" (ICCV 2019, oral). Proposed method archives state-of-the-art results in multi-view 3D human pose estimation!