Deep Reinforcement Learning For Sequence to Sequence Models

Datasets, Transforms and Models specific to Computer Vision

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Source code of paper "Convolutional Sequence to Sequence Model for Human Dynamics"

Code for the paper "Two-Stream Convolutional Networks for Dynamic Texture Synthesis". Presented at CVPR '18.

A Tensorfflow implementation of Attend, Infer, Repeat

Implementation of Generalized Hamming Network

A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules

A memory-efficient implementation of DenseNets

Matlab library for stochastic gradient descent algorithms: Version 1.0.12

Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

Keras implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Code of Directional Self-Attention Network (DiSAN)

Tensorflow implementation for DilatedRNN

Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image

天池智慧交通预测挑战赛解决方案

Experimental keras implementation of novel neural network structures

Trajectory-Set feature for action recognition

Code for AdaScan: Adaptive Scan Pooling (CVPR 2017)

NetVLAD: CNN architecture for weakly supervised place recognition

Triple-GAN: a unified framework for classification and class-conditional generation in semi-supervised learing

MoCoGAN: Decomposing Motion and Content for Video Generation

Keras Generative Adversarial Networks

Attention mechanism Implementation for Keras.

Repository w/ Jupyter + R Notebooks for creating a model to predict the success of Reddit submissions with Keras.