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adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

arctic-capgen-vid

automatic video description generation with GPU training

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome.json

:eyeglasses: Curated list of Awesome lists updated every 24hrs in JSON format.

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

datasets

Here are some benchmark data sets on images

deep-features-video

Scripts to extract CNN features from video frames with Keras.

fairseq-py

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

ffmpeg

mirror of git://source.ffmpeg.org/ffmpeg.git

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

groundedtranslation

Multilingual image description

groundhog

Library for implementing RNNs with Theano

libkeras

Wrapper library, built to provide a more user-friendly environment for Keras.

multimodal-machine-translation

Multimodal Machine Translation

multimodal_nmt

Multimodal Neural Machine Translation with Minimum Risk training objectives

nematus

nmt-tips

A tutorial about neural machine translation including tips on building practical systems

opencv

Open Source Computer Vision Library

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

self-critical.pytorch

Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning

sklcrm

Implementation of the Sparse Kernel Relevance Model (SKLCRM)

tensor2tensor

A library for generalized sequence to sequence models

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

video-caption-pytorch

pytorch code for video-caption

wmt16-scripts

scripts and configuration files for Edinburgh neural MT submission to WMT 16 shared translation task