Highlights
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CSrankings Public
Forked from emeryberger/CSrankingsA 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.
Python Other UpdatedJan 11, 2025 -
pytorch_net Public
Efficient construction and manipulation of nets with PyTorch
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lamp Public
Forked from snap-stanford/lampFirst deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing
Python MIT License UpdatedJul 15, 2023 -
graph_pde Public
Forked from neuraloperator/graph-pdeUsing graph network to solve PDEs
Python MIT License UpdatedMay 8, 2023 -
zeroc Public
Forked from snap-stanford/zerocZeroC 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
Jupyter Notebook MIT License UpdatedMar 13, 2023 -
concept_library Public
Library for hierarchical concept composition and reasoning
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MP_Neural_PDE_Solvers Public
Forked from brandstetter-johannes/MP-Neural-PDE-SolversRepo to the paper "Message Passing Neural PDE Solvers"
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le_pde Public
Forked from snap-stanford/le_pdeLE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA accuracy
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GIB Public
Forked from snap-stanford/GIBGraph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
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PDE-Control Public
Forked from holl-/PDE-ControlCode for the ICLR 2020 paper "Learning to Control PDEs"
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diplomacy_cicero Public
Forked from facebookresearch/diplomacy_ciceroCode for Cicero, an AI agent that plays the game of Diplomacy with open-domain natural language negotiation.
Python Other UpdatedNov 22, 2022 -
uncertainty_toolbox Public
Forked from uncertainty-toolbox/uncertainty-toolboxUncertainty Toolbox: a python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
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taichi Public
Forked from taichi-dev/taichiProductive & portable high-performance programming in Python.
C++ Apache License 2.0 UpdatedSep 5, 2022 -
transformer Public
Forked from hyunwoongko/transformerImplementation of "Attention Is All You Need" using pytorch
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egnn-pytorch Public
Forked from lucidrains/egnn-pytorchImplementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
Python MIT License UpdatedApr 30, 2022 -
clevr-dataset-gen Public
Forked from facebookresearch/clevr-dataset-genA Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Python Other UpdatedApr 11, 2022 -
CADA_VAE_PyTorch Public
Forked from edgarschnfld/CADA-VAE-PyTorchOfficial implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
Python MIT License UpdatedJan 29, 2022 -
hamiltonian-nn Public
Forked from greydanus/hamiltonian-nnCode for our paper "Hamiltonian Neural Networks"
Jupyter Notebook Apache License 2.0 UpdatedAug 25, 2021 -
baselines Public
Forked from openai/baselinesOpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Python MIT License UpdatedAug 15, 2021 -
pytorch-a2c-ppo-acktr-gail Public
Forked from ikostrikov/pytorch-a2c-ppo-acktr-gailPyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
Python MIT License UpdatedAug 14, 2021 -
improved_contrastive_divergence Public
Forked from yilundu/improved_contrastive_divergencePython UpdatedMay 8, 2021 -
pytorch-normalizing-flows Public
Forked from karpathy/pytorch-normalizing-flowsNormalizing flows in PyTorch. Current intended use is education not production.
Jupyter Notebook UpdatedApr 22, 2021 -
igebm-pytorch Public
Forked from rosinality/igebm-pytorchImplicit Generation and Generalization in Energy Based Models in PyTorch
Python MIT License UpdatedMar 21, 2021 -
monet Public
Forked from stelzner/monetAn implementation of the MONet model for unsupervised scene decomposition in PyTorch
Python MIT License UpdatedMar 7, 2021 -
AI_physicist Public
AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)
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Turbulent-Flow-Nets Public
Forked from Rui1521/Turbulent-Flow-NetsTowards Physics-informed Deep Learning for Turbulent Flow Prediction
Jupyter Notebook UpdatedFeb 14, 2021 -
Prototypical-Networks-for-Few-shot-Learning-PyTorch Public
Forked from orobix/Prototypical-Networks-for-Few-shot-Learning-PyTorchImplementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch
Python MIT License UpdatedFeb 3, 2021 -
ar-pde-cnn Public
Forked from cics-nd/ar-pde-cnnPhysics-constrained auto-regressive convolutional neural networks for dynamical PDEs
Python MIT License UpdatedJan 24, 2021 -
pytorch-3dunet Public
Forked from wolny/pytorch-3dunet3D U-Net model for volumetric semantic segmentation written in pytorch
Jupyter Notebook MIT License UpdatedJan 23, 2021 -
sniffle-workshop Public
Forked from krrish94/sniffle-workshopAn easy-to-use jekyll theme for creating a workshop webpage (useful for AI / ML / CV / robotics folks)
SCSS Other UpdatedJan 3, 2021