leomrocha's Stars
tensorflow/models
Models and examples built with TensorFlow
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
magenta/magenta
Magenta: Music and Art Generation with Machine Intelligence
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
google-deepmind/pysc2
StarCraft II Learning Environment
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
cbfinn/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
scrtlabs/catalyst
An Algorithmic Trading Library for Crypto-Assets in Python
hadrienj/deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
berkeleydeeprlcourse/homework
Assignments for CS294-112.
TorchCraft/TorchCraft
Connecting Torch to StarCraft
facebookresearch/House3D
a Realistic and Rich 3D Environment
openai/supervised-reptile
Code for the paper "On First-Order Meta-Learning Algorithms"
coxlab/prednet
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
pathak22/pyflow
Fast, accurate and easy to run dense optical flow with python wrapper
stanfordnlp/mac-network
Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)
AnalogJ/gitmask
Contribute Code Anonymously
facebookresearch/GradientEpisodicMemory
Continuum Learning with GEM: Gradient Episodic Memory
Atcold/pytorch-CortexNet
PyTorch implementation of the CortexNet predictive model
mypaint/libmypaint
libmypaint, a.k.a. "brushlib", is a library for making brushstrokes which is used by MyPaint and other projects.
pathak22/unsupervised-video
[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
AI-ON/Few-Shot-Music-Generation
sanyam5/arc-pytorch
The first public PyTorch implementation of Attentive Recurrent Comparators
openai/neural-gpu
Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"
sagelywizard/snail
A PyTorch implementation of the blocks from the _A Simple Neural Attentive Meta-Learner_ paper
AI-ON/TheConsciousnessPrior
AI-ON Consciousness Prior
dhpollack/fast-wavenet.pytorch
A PyTorch implementation of fast-wavenet
RUSH-LAB/LSH_Memory
One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH
zergylord/oneshot
LUMII-Syslab/DNGPU
Code for reproducing key results in the paper "Improving the Neural GPU Architecture for Algorithm Learning" by Karlis Freivalds, Renars Liepins.