tailintalent

GIB

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

lamp

[ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing

le_pde

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

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

AI_physicist

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

causal

Discovering directional relations via minimum predictive information regularization

concept_library

Library for hierarchical concept composition and reasoning

DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

mela

Use meta-learning autoencoder to learn to generate a parametrized class of models, and predict the parameters at the same time

pytorch_net

Efficient construction and manipulation of nets with PyTorch

tailintalent/AI_physicist

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

tailintalent/pytorch_net

Efficient construction and manipulation of nets with PyTorch

tailintalent/concept_library

Library for hierarchical concept composition and reasoning

tailintalent/GIB

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

tailintalent/le_pde

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

tailintalent/MP_Neural_PDE_Solvers

Repo to the paper "Message Passing Neural PDE Solvers"

tailintalent/PDE-Control

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

tailintalent/transformer

Implementation of "Attention Is All You Need" using pytorch

tailintalent/uncertainty_toolbox

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

tailintalent/ar-pde-cnn

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

tailintalent/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

tailintalent/CADA_VAE_PyTorch

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

tailintalent/clevr-dataset-gen

A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

tailintalent/CSrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

tailintalent/diplomacy_cicero

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

tailintalent/egnn-pytorch

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

tailintalent/graph_pde

Using graph network to solve PDEs

tailintalent/hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

tailintalent/igebm-pytorch

Implicit Generation and Generalization in Energy Based Models in PyTorch

tailintalent/improved_contrastive_divergence

tailintalent/lamp

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

tailintalent/monet

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

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

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

tailintalent/pytorch-3dunet

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

tailintalent/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).

tailintalent/pytorch-normalizing-flows

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

tailintalent/sniffle-workshop

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

tailintalent/taichi

Productive & portable high-performance programming in Python.

tailintalent/Turbulent-Flow-Nets

Towards Physics-informed Deep Learning for Turbulent Flow Prediction

tailintalent/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