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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.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Unsupervised representation learning with CapsNet based Generative Adversarial Networks
Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf
PyTorch implementations of deep reinforcement learning algorithms and environments
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
Source code and datasets for the paper "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification" (IJCAI-19)
Tensorflow implementation of Stacked Hourglass Networks for Human Pose Estimation
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).
Simple Tensorflow implementation of "Multimodal Unsupervised Image-to-Image Translation" (ECCV 2018)
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
Synthesizing and manipulating 2048x1024 images with conditional GANs
Autoencoder for Point Clouds
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets
Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)
A pytorch implementation for "A simple neural network module for relational reasoning", working on the CLEVR dataset
Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.