vivonasg

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

attention-is-all-you-need-pytorch

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

MixHop-and-N-GCN

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

robust-gcn

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

diffpool

SR-GNN

Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

pyGAT

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

H-GCN

Source code and datasets for the paper "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification" (IJCAI-19)

xlnet-Pytorch

Simple XLNet implementation with Pytorch Wrapper

RelationNetworks-CLEVR

A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)

pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs

Black_Boys_Code_AI

MUNIT-Tensorflow

Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation" (ECCV 2018)

AtlasNet

This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning Mesh Synthesis". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

FCN.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

pointnet-autoencoder

Autoencoder for Point Clouds

CycleGAN-tensorflow

Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

UNIT

Unsupervised Image-to-Image Translation

CapsuleGAN-pytorch

pytorch-MNIST-CelebA-GAN-DCGAN

Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets

CapsGAN

Unsupervised representation learning with CapsNet based Generative Adversarial Networks

pix2pix-tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

dgcnn

Real-Time-Global-Dengue-Machine-Learning-Model

hourglasstensorlfow

Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation

machine_learning

Tensorflow-binary-classification

A binary classification model based on tensorflow.