Neural Style and MSG-Net
Explaining the predictions of any machine learning classifier
The source code of 'Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network'.
Image restoration with neural networks but without learning.
Convolutional Neural Networks for Sentence Classification (TextCNN) implements in Tensorflow
iGAN: Interactive Image Generation via Generative Adversarial Networks
Code for Densely Connected Convolutional Networks (DenseNets)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Real-time object detection and classification
A TensorFlow implementation of the Differentiable Neural Computer.
Collection of generative models in Pytorch version
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Deformable Convolutional Networks
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
An unsupervised text tokenizer and detokenizer mainly for Neural Network-based text generation systems where the vocabulary size is predetermined prior to the neural model training
Net2Net implementation on PyTorch for any possible vision layers.
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.
An implementation of A Distributional Perspective on Reinforcement Learning
Code and data for paper "Deep Photo Style Transfer"
Dual Shot Face Detector
Subword Neural Machine Translation
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Generative Image In-painting with Contextual Attention
Implementation of NIMA: Neural Image Assessment in Keras
Faster RCNN with PyTorch
Fast Python Collaborative Filtering for Implicit Datasets