offbit

noise-as-targets

Unsupervised Learning by Predicting Noise

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

papers

Summaries of machine learning papers

imgaug

Image augmentation for machine learning experiments.

EffectiveTensorflow

TensorFlow tutorials and best practices.

awesome-deeplearning-resources

Deep Learning and deep reinforcement learning research papers and some codes

CycleGAN-Tensorflow-2

monodepth

Unsupervised single image depth prediction with CNNs

pytorch-SRResNet

pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

pytorch-cns

Generalized Compressed Network Search with PyTorch

pytorch-visdom

Support powerful visual logging in PyTorch.

batchup

Python library for extracting mini-batches of data from a data source for the purpose of training neural networks

data_science_delivered

Observations from Ian on successfully delivering data science products

ELF

An End-To-End, Lightweight and Flexible Platform for Game Research

bigBatch

Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training of neural networks"

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

SNNs

Tutorials and implementations for "Self-normalizing networks"

optimviz

Visualize optimization algorithms in MATLAB.

Fast-Slow-LSTM

DeepLearningImplementations

Implementation of recent Deep Learning papers

pbpython

Code, Notebooks and Examples from Practical Business Python

clevr-iep

Inferring and Executing Programs for Visual Reasoning

K-Nearest-Neighbors-with-Dynamic-Time-Warping

Python implementation of KNN and DTW classification algorithm

deep-learning-papers

Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.

ubuntu-ansible

Set up a Ubuntu machine from scratch

parrot

RNN-based generative models for speech.

asr-study

Implementation of all-neural speech recognition systems using Keras and Tensorflow

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

pytorch-a3c

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".