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awesome-deep-learning-papers

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bluefog

Distributed and decentralized training framework for PyTorch over graph

chainedgp

Repository for Chained Gaussian Processes

cs228t.2012

The programming assignments from CS228T offered in Spring 2012 at Stanford

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-papers

A list of papers and resources dedicated to deep reinforcement learning

deeplearning-papernotes

Summaries and notes on Deep Learning research papers

edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

ee227c.github.io

EE227C (Spring 2018) Course page

fruit

Toy example of a deep reinforcement learning model playing a game of catching fruit

kerasgan

A collection of Keras GAN notebooks

ml-systems

papers on large-scale machine learning and systems

notes

Course notes

notes-on-dirichlet-processes

:game_die: IPython notebooks explaining Dirichlet Processes, HDPs, and Latent Dirichlet Allocation

paddle

PArallel Distributed Deep LEarning

pcons-fold

Pipeline for protein folding using PconsC and Rosetta

protein-sequence-embedding-iclr2019

Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019

pydata-nyc-2015

:scroll: Understanding Probabilistic Topic Models with Simulation in Python

reinforcementlearning

rllab

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

schnetpack

SchNetPack - Deep Neural Networks for Atomistic Systems

summerschool2015

Slides and exercises for the Deep Learning Summer School 2015 programming tutorials

tape

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

tensorflow-tutorial

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

tensorflow_with_latest_papers

Implementation of Newest RNN and Seq2Seq Features

torch-ddcnn

From Pixels to Torques: Policy Learning using Deep Dynamical Convolutional Neural Networks (DDCNN)

torchmtl

A lightweight module to do Multi-Task Learning in pytorch.