A recurrent unit that can run over 10 times faster than cuDNN LSTM without loss of accuracy to training RNNs as Fast as CNNs
Generating Code from a Graphical User Interface Screenshot
Image-to-image translation using conditional adversarial nets
Facebook AI Research Sequence-to-Sequence Toolkit
An experimental technique for efficiently exploring neural architectures.
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets
Fastest DNN Execution Framework on Web Browser
Code and data for paper "Deep Photo Style Transfer"
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library
Code for Densely Connected Convolutional Networks (DenseNets)
Torch7/MATLAB code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"
Learning Chinese Character style with conditional GAN
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
Topic Modelling for Humans
This repository contains the code release for our paper titled as "Text-Independent Speaker Verification Using 3D Convolutional Neural Networks"
Hierarchical Attention Networks for Document Classification in PyTorch
A TensorFlow Implementation of the Transformer: Attention Is All You Need
Torch implementation of neural style algorithm
Image Super-Resolution for Anime-Style Art
Reading Wikipedia to Answer Open-Domain Questions
A tensorflow implementation of Deep Convolutional Generative Adversarial Networks
Code accompanying the paper "Wasserstein GAN"
A TensorFlow implementation of Baidu's DeepSpeech architecture
Sentence embeddings (InferSent) and training code for NLI.
Bare bones Python implementations of some of the foundational Machine Learning models and algorithms.
code for running Model and code for Not Suitable for Work (NSFW) classification using deep neural network Caffe models
A fasttext implementation based on Torch
Naive Bayesian Classification for Golang.