tailintalent

AI_physicist

AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)

pytorch_net

Efficient construction and manipulation of nets with PyTorch

concept_library

Library for hierarchical concept composition and reasoning

GIB

Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs

le_pde

LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy

MP_Neural_PDE_Solvers

Repo to the paper "Message Passing Neural PDE Solvers"

transformer

Implementation of "Attention Is All You Need" using pytorch

uncertainty_toolbox

Uncertainty Toolbox: a python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

ar-pde-cnn

Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

CADA_VAE_PyTorch

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

clevr-dataset-gen

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

deepsnap

Python library assists deep learning on graphs

diplomacy_cicero

Code for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.

egnn-pytorch

Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

graph_pde

Using graph network to solve PDEs

hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

igebm-pytorch

Implicit Generation and Generalization in Energy Based Models in PyTorch

improved_contrastive_divergence

lamp

First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing

monet

An implementation of the MONet model for unsupervised scene decomposition in PyTorch

PDE-Control

Code for the ICLR 2020 paper "Learning to Control PDEs"

Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

pytorch-3dunet

3D U-Net model for volumetric semantic segmentation written in pytorch

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-normalizing-flows

Normalizing flows in PyTorch. Current intended use is education not production.

sniffle-workshop

An easy-to-use jekyll theme for creating a workshop webpage (useful for AI / ML / CV / robotics folks)

taichi

Productive & portable high-performance programming in Python.

Turbulent-Flow-Nets

Towards Physics-informed Deep Learning for Turbulent Flow Prediction

zeroc

ZeroC is a neuro-symbolic method that trained with elementary visual concepts and relations, can zero-shot recognize and acquire more complex, hierarchical concepts, even across domains