Zhongen Li's repositories
learnGitBranching
An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!
awesome-gan-inversion
A collection of resources on GAN inversion.
curated-list-of-awesome-3D-Morphable-Model-software-and-data
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
3D-point-capsule-networks
Perturbation experiments on the latent capsules of 3D Point Capsule Networks by Zhao et al.
aitom
AI for tomography
StarMap
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation
Complex-YOLOv4-Pytorch
The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"
3D-Machine-Learning
A resource repository for 3D machine learning
interpretability-by-parts
Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
hello-world
trial
Shape-Measure
PyTorch version of shape evaluation metrics
Enable-HiDPI-OSX
Enable HiDPI on OS X
librealsense
Intel® RealSense™ SDK
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
A-SCN
Attentional ShapeContextNet for Point Cloud Recognition
CNN-Attention
An Image Classifier with attention layers visualized
All-about-XAI
This repository is all about papers and tools of Explainable AI
pointcloud_experiments
Experiments with Pointnet and GAPNet/GAPointNet. Attention and transformers for point clouds.
DR-Learning-for-3D-Face
Implementation for paper "Disentangled Representation Learning for 3D Face Shape" CVPR 2019
models
Models and examples built with TensorFlow
MachineLearning-DeepLearning-NLP-LeetCode-StatisticalLearningMethod-TensorFlow
最近在学习机器学习，深度学习，自然语言处理，统计学习方法等知识，理论学习主要根据readme的链接，在学习理论的同时，决定自己将学习的相关算法用Python实现一遍，并结合GitHub上相关大牛的代码进行改进，本项目会不断的更新相关算法，欢迎star，fork和关注。 主要包括： 1.吴恩达Andrew Ng老师的机器学习课程作业个人笔记 Python实现， 2.deeplearning.ai（吴恩达老师的深度学习课程笔记及资源） Python实现， 3.李航《统计学习方法》 Python代码实现， 4.自然语言处理NLP 牛津大学xDeepMind Python代码实现， 5.LeetCode刷题，题析，分析心得笔记 Java和Python代码实现， 6.TensorFlow人工智能实践代码笔记 北京大学曹健老师课程和TensorFlow：实战Google深度学习框架（第二版） Python代码实现， 附带一些个人心得和笔记。GitHub上有很多机器学习课程的代码资源，我也准备自己实现一下，后续会更新笔记，代码和百度云网盘链接。 这个项目主要是学习算法的，并且会不断更新相关资源和代码，欢迎关注，star，fork！ Min's blog 欢迎访问我的博客主页！ (Welcome to my blog website !)https://liweimin1996.github.io/
Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
Non-Maximum-Suppression
描述非极大值抑制（Non-Maximum-Suppression，NMS）
KITTI-Dataset
Examination of the KITTI dataset.
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
InfoGAN
InfoGAN Implementation in PyTorch
MAIAN
MAIAN: automatic tool for finding trace vulnerabilities in Ethereum smart contracts
belkin-energy-disaggregation
I will try to learn from this project