kuisong zheng's starred repositories
show-attend-and-tell
TensorFlow Implementation of "Show, Attend and Tell"
practical-pytorch
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
treelstm.pytorch
Tree LSTM implementation in PyTorch
ntm-one-shot
One-shot Learning with Memory-Augmented Neural Networks
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
PathFinding.js
A comprehensive path-finding library for grid based games
capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
How-to-Learn-from-Little-Data
This is the code for "How to Learn from Little Data - Intro to Deep Learning #17' by Siraj Raval on YouTube
act-tensorflow
Adaptive Computation Time algorithm in Tensorflow
information-bottleneck
a python implementation of various versions of the information bottleneck, including automated parameter searching
shadowsocks-qt5
A cross-platform shadowsocks GUI client
relational-networks
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
electronic-wechat
:speech_balloon: A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.
CleverAlgorithms
Clever Algorithms: Nature-Inspired Programming Recipes
jupyterlab
JupyterLab computational environment.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
shadowsocksr
Python port of ShadowsocksR
adaboost-implementation
Implementation of AdaBoost algorithm in Python