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100daysofmlcode

adaptive-softmax-pytorch

Adaptive Softmax implementation for PyTorch

allennlp

An open-source NLP research library, built on PyTorch.

anchor-graph-hashing

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

autoencoder

Implementation of Semantic Hashing. Modified from Ruslan Salakhutdinov and Geoff Hinton's code of training Deep AutoEncoder

bluearmorhero

A web-based top-down RPG game similar to Dragon Quest. The goal is to save the princess.

capsule-net-pytorch

A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

char-cnn-pytorch

Character-level Convolutional Neural Networks for text classification in PyTorch

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

dask-tutorial

Dask tutorial

deeprlhacks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generating_people

Official code repository for the paper "A Generative Model for People in Clothing".

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

kind-pytorch-tutorial

Kind PyTorch Tutorial for beginners

models

Models and examples built with TensorFlow

neuralrg

Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and normalizing flow.

nice_pytorch

Nonlinear Independent Components Estimation (Dinh et al, 2014) in PyTorch.

nmt

TensorFlow Neural Machine Translation Tutorial

node2hash

normalizing-flows-tutorial

Tutorial on normalizing flows.

notes

Resources to learn more about Machine Learning and Artificial Intelligence

nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

parlai

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

polyvore-dataset

Dataset used in paper "Learning Fashion Compatibility with Bidirectional LSTMs"

prep_code

probtorch

Probabilistic Torch is library for deep generative models that extends PyTorch