Amir-Arsalan

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

ResNeSt

ResNeSt: Split-Attention Networks

difftaichi

10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)

Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

EffectivePyTorch

PyTorch tutorials and best practices.

sculptgl

DEVELOPMENT STOPPED I'm now working on Nomad Sculpt instead

CMC

[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

Sorcar

Procedural modeling in Blender using Node Editor

dreamer

Dream to Control: Learning Behaviors by Latent Imagination

pytorch-blender

:sweat_drops: Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

taichi_elements

High-performance multi-material continuum physics engine in Taichi

bpycv

Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)

coma

Convolutional Mesh Autoencoders for Generating 3D Faces

scene-representation-networks

Official Pytorch implementation of Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

SATNet

Bridging deep learning and logical reasoning using a differentiable satisfiability solver.

c-swm

Contrastive Learning of Structured World Models

s-vae-pytorch

Pytorch implementation of Hyperspherical Variational Auto-Encoders

blendersushi

Blender Sushi related scripts. Mostly about Sverchok, Geometry Nodes, Animation Nodes, and related Python scripts.

ascii3d

3D Render in ASCII art

nf-jax

Normalizing Flows in Jax

NeuralContours

Neural Contours: Learning to Draw Lines from 3D Shapes (CVPR2020)

causal_learning_unknown_interventions

Code for "Neural causal learning from unknown interventions"

meta-learning-curiosity-algorithms

smile-mi-estimator

PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"

compmirrors

gadMCMC

Gradient-based Adaptive Markov chain Monte Carlo

Multi-View-Information-Bottleneck

MooneyFaceGenerator

A simple and graphical tool to generate Mooney faces.