sjayakum's Stars
shap/shap
A game theoretic approach to explain the output of any machine learning model.
deontologician/atari_multitask
Atari gauntlet for RL agents
AI-ON/ai-on.org
AI•ON projects repository and website source.
fastai/courses
fast.ai Courses
JosPolfliet/awesome-ai-usecases
A list of awesome and proven Artificial Intelligence use cases and applications
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
joowani/binarytree
Python Library for Studying Binary Trees
amitkaps/hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
alexandres/lexvec
This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks
rouseguy/intro2deeplearning
Introduction to Deep Learning
tristanoneil/tristanoneil.github.com
microsoft/malmo
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
justmarkham/DAT4
General Assembly's Data Science course in Washington, DC
justmarkham/DAT3
General Assembly's Data Science course in Washington, DC
coursera-dl/coursera-dl
Script for downloading Coursera.org videos and naming them.
vict0rsch/deep_learning
Deep Learning Resources and Tutorials using Keras and Lasagne
vinta/awesome-python
An opinionated list of awesome Python frameworks, libraries, software and resources.
kjw0612/awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
ntasfi/PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
maxpumperla/betago
BetaGo: AlphaGo for the masses, live on GitHub.
lgreski/datasciencectacontent
repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera
maciejkula/triplet_recommendations_keras
An example of doing MovieLens recommendations using triplet loss in Keras
stanfordnlp/GloVe
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
maxpumperla/elephas
Distributed Deep learning with Keras & Spark
karpathy/neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
numenta/nupic-legacy
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
sherjilozair/char-rnn-tensorflow
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
alexjc/neural-doodle
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
keras-team/keras
Deep Learning for humans
pkmital/tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow