crizzy9

pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

picar

End-to-end deep learning based autonomous RC car using Raspberry Pi 3.

workshops

A few exercises for use at events.

Google-Chrome-Dino-Game-AI

s2client-proto

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

reinforcement-learning

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

awesome-machine-learning-on-source-code

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

scalable_agent

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

python-sc2

A StarCraft II bot api client library for Python 3

pysc2

StarCraft II Learning Environment

ml-coursera-python-assignments

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

stacks-core

The Stacks blockchain implementation

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

tensorflow-GANs

各类GAN综合在一起，借鉴了hwalsuklee大神的

ml-study

ML Learning Sabbatical Study Materials

Artificial-Neural-Networks-Visualizer

Visualizing Artificial Neural Networks (ANNs) with just One Line of Code

unimatrix

Python script to simulate the display from "The Matrix" in terminal. Uses half-width katakana unicode characters by default, but can use custom character sets. Accepts keyboard controls while running. Based on CMatrix.

som-tsp

Solving the Traveling Salesman Problem using Self-Organizing Maps

Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

GloVe

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

CoreNLP

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

nematus

Open-Source Neural Machine Translation in Tensorflow

awesome-text-summarization

The guide to tackle with the Text Summarization

Adversarial_Autoencoder

A wizard's guide to Adversarial Autoencoders

AAE-tensorflow

Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)

Autoencoder-QLearner

Investigation into the use of Autoencoder Neural Network to optimize the state space and Q-function performance of a Reinforcement Learning Problem

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

autoencoder

Text autoencoder with LSTMs