Pinned Repositories
2021-CV-Surveys
2021 年，计算机视觉相关综述。包括目标检测、跟踪........
2DASL
The code (pytorch for testing & matlab for 3D plot and evaluation) for our project: Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning （2DASL）
3D-convolutional-speaker-recognition
:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification
3DDFA
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
adversarial-frcnn
A-Fast-RCNN (CVPR 2017)
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
applied-deep-learning-resources
A collection of research articles, blog posts, slides and code snippets about deep learning in applied settings.
face_losses
Face losses implemented in tensorflow
shufflenet_v2_tensorflow
shufflenet v1 & shufflenet v2 by tensorflow.
wangxianliang's Repositories
wangxianliang/2021-CV-Surveys
2021 年，计算机视觉相关综述。包括目标检测、跟踪........
wangxianliang/3DDFA
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
wangxianliang/albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
wangxianliang/Detours
Detours is a software package for monitoring and instrumenting API calls on Windows. It is distributed in source code form.
wangxianliang/DragGAN
Code for DragGAN (SIGGRAPH 2023)
wangxianliang/eos
A lightweight 3D Morphable Face Model fitting library in modern C++11/14
wangxianliang/FaceX-Zoo
A PyTorch Toolbox for Face Recognition
wangxianliang/hyperstyle
Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" (CVPR 2022) https://arxiv.org/abs/2111.15666
wangxianliang/LicenseServer
wangxianliang/lshort-zh-cn
A Chinese edition of the Not So Short Introduction to LaTeX2ε
wangxianliang/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
wangxianliang/MobileNetV4-pytorch
An unofficial implementation of MobileNetV4 in Pytorch
wangxianliang/onnx-pytorch
A code generator from ONNX to PyTorch code
wangxianliang/paper-reading
深度学习经典、新论文逐段精读
wangxianliang/physics1
wangxianliang/physics2
wangxianliang/physics3
wangxianliang/pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
wangxianliang/python-patterns
A collection of design patterns/idioms in Python
wangxianliang/RevokeMsgPatcher
:trollface: A hex editor for WeChat/QQ/TIM - PC版微信/QQ/TIM防撤回补丁（我已经看到了，撤回也没用了）
wangxianliang/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
wangxianliang/slambook-en
The English version of 14 lectures on visual SLAM.
wangxianliang/subtitleedit
the subtitle editor :)
wangxianliang/thuthesis
LaTeX Thesis Template for Tsinghua University
wangxianliang/tiny-training
On-Device Training Under 256KB Memory [NeurIPS'22]
wangxianliang/TrollStore
Jailed iOS app that can install IPAs permanently with arbitary entitlements and root helpers because it trolls Apple
wangxianliang/TTKMusicplayer
TTKMusicPlayer that imitation Kugou music, the music player uses of qmmp core library based on Qt for windows and linux.(支持网易云音乐、QQ音乐、酷我音乐、酷狗音乐)
wangxianliang/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
wangxianliang/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
wangxianliang/yolov5-5.x-annotations
一个基于yolov5-5.0的中文注释版本！