hfkmt's starred repositories

google-research

Google Research

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FluidX3D

The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL. Free for non-commercial use.

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evotorch

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

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torchdynamo

A Python-level JIT compiler designed to make unmodified PyTorch programs faster.

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Poisson_flow

Code for NeurIPS 2022 Paper, "Poisson Flow Generative Models" (PFGM)

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Adan

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

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torchopt

TorchOpt is an efficient library for differentiable optimization built upon PyTorch.

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foldingdiff

Diffusion models of protein structure; trigonometry and attention are all you need!

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GDN

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

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fTetWild

Fast Tetrahedral Meshing in the Wild

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mile

PyTorch code for the paper "Model-Based Imitation Learning for Urban Driving".

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STEP

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

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PhysCap_demo_release

PhysCap: Physically Plausible Monocular 3D Motion Capture in Real Time The implementation is based on [SIGGRAPH Aisa'20](https://vcai.mpi-inf.mpg.de/projects/PhysCap/).

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VectorAdam

VectorAdam for Rotation Equivariant Geometry Optimization

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LanguageGroundedSemseg

Implementation for ECCV 2022 paper Language-Grounded Indoor 3D Semantic Segmentation in the Wild

GTA

Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT

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gradientgating

Gradient gating (ICLR 2023)

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PaGraph

SoCC'20 and TPDS'21: Scaling GNN Training on Large Graphs via Computation-aware Caching and Partitioning.

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coronary-mesh-convolution

Implementation accompanying our STACOM (MICCAI) 2021 paper (https://doi.org/10.1007/978-3-030-93722-5_11)

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of_pytorch_docker

Dockerfile to create an image with OpenFOAM-plus and PyTorch support

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eman

Equivariant Mesh Attention Networks

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sdf-torch

Simple SDF mesh generation in Python

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gnn_laminar_flow

Laminar flow prediction using graph neural networks

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MGNNI

The implementation of MGNNI: Multiscale Graph Neural Networks with Implicit Layers (NeurIPS 2022)

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subprecision-cfd

Code for "Deep neural networks to correct sub-precision errors in CFD"

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