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awesome-courses

List of awesome university courses for learning Computer Science!

basic_reinforcement_learning

An introduction series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

cs224d-solutions

Solutions for http://cs224d.stanford.edu/

cs231n-assignment2

Solution codes for cs231n assignment2 (2016)

cs231n-assignment3

Image Gradient, Deep Dream

dgm

Deep generative models

dpmm

Variational inference for Dirichlet process mixture models with multinomial mixture components.

dpmm-1

Dirichlet process mixture model code in Matlab. Sampling and variational.

dureader

Baseline Systems of DuReader Dataset

ganhacks

starter from "How to Train a GAN?" at NIPS2016

language

Shared repository for open-sourced projects from the Google AI Language team.

mge

implementation of multi granuility chinese word embeddings

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

paddle

PArallel Distributed Deep LEarning （『飞桨』核心框架，高性能单机、分布式训练和跨平台部署）

practical-pytorch

Practical PyTorch tutorials, focused on using RNNs for NLP

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

subword2vec

tensorflow

Computation using data flow graphs for scalable machine learning

tinyflow

Tutorial code on how to build your own Deep Learning System in 2k Lines

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

vae_nbp

Variational Auto-encoder with Non-parametric Bayesian Prior

word2vec

GitHub clone of SVN repo http://word2vec.googlecode.com/svn/trunk/ (cloned by http://svn2github.com/)

word2vec_c

Initial project repo of COMP6211A@HKUST