3D Shape Representation with Local Deep Implicit Functions.

Learn the basic knowledge of point clouds and make something different to its segementation step by step.

disentanglement_lib is an open-source library for research on learning disentangled representations.

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Jupyter metapackage for installation, docs and chat

This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

Feedforward style transfer

Transform arbitrary photograph or video into artwork using Theano.

Video style transfer using feed-forward networks.

Torch implementation for the paper "Artistic style transfer for videos"

Torch implementation of neural style algorithm

Neural style in TensorFlow! 🎨

Implementation of Graph Convolutional Networks in TensorFlow

Repository of Team TensorFlow

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Representation learning on large graphs using stochastic graph convolutions.

A resource repository for 3D machine learning

A JavaScript framework for client-side volume rendering. The WAVE Client Renderer is a subset of the WAVE framework, mainly to provide visual previews for large data sets.