tailintalent
Assistant Professor @ Westlake University. Research interests: AI + Science. Previously Stanford CS, MIT, Peking University
Westlake University
Pinned Repositories
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's Repositories
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