Weihuang's repositories
CAP-6610-Project1
Kmeans, FCM, GMM for cluster
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）
awesome-GAN-papers
papers and codes about GAN
conda-git-pip-proxy
setting condarc file and R snippet to use conda install and install_git with a proxy on windows platform
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Delving-deep-into-GANs
Generative Adversarial Networks (GANs) resources sorted by citations
Dive-into-DL-PyTorch
本项目将《动手学深度学习》（Dive into Deep Learning）原书中的MXNet代码实现改为PyTorch实现。
freeCodeCamp
The https://freeCodeCamp.org open source codebase and curriculum. Learn to code and help nonprofits.
GAN-Timeline
A timeline showing the development of Generative Adversarial Networks (GAN).
ignite
High-level library to help with training neural networks in PyTorch
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
moevat
Python libary to quickly label data/images.
morphsnakes
Morphological snakes for image segmentation and tracking
PointCNN
CNN Generalized for Consuming Point Cloud Data
pointnet.pytorch
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-grad-cam
PyTorch implementation of Grad-CAM
really-awesome-gan
A list of papers on Generative Adversarial (Neural) Networks
SmoothGradCAMplusplus
The re-implementation of Smooth Grad-CAM++ with pytorch
Spyder-Color-Themes
Color Themes for Spyder (https://github.com/spyder-ide/spyder)
tensorspace
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
TernausNet
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset
tf.gans-comparison
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
the-gan-zoo
A list of all named GANs!