Stars
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）
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
Awesome work on hand pose estimation/tracking
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
SparshaSaha / Hand-Gesture-Recognition-Using-Background-Elllimination-and-Convolution-Neural-Network
Hand Gesture Recognition using Convolution Neural Network built using Tensorflow, OpenCV and python
Real time 3D pose tracking and Hand Gesture Recognition using OpenPose, Python Machine Learning Toolkits, Realsense and Kinect libraries.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
The machine learning toolkit for time series analysis in Python
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Simple tiling window manager written in Python intended for Windows XP/7
Models and examples built with TensorFlow
some examples of "high math" that we can play with
Deep learning models trained to correct input errors in short, message-like text
Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Toy Keras implementation of a seq2seq model with examples.
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Curated list of awesome GAN applications and demo
Python code for paper - Variational Deep Embedding : A Generative Approach to Clustering
Tensorflow implementation : U-net and FCN with global convolution
Minimal and Clean Reinforcement Learning Examples
Playing around with OpenAI gym. Just experimenting, no serious competition intended.
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"