Projects in Awesome Lists tagged with geometric-deep-learning

https://github.com/pyg-team/pytorch_geometric

Graph Neural Network Library for PyTorch

deep-learning geometric-deep-learning graph-convolutional-networks graph-neural-networks pytorch

Last synced: 12 May 2025

https://rusty1s.github.io/pytorch_geometric

Graph Neural Network Library for PyTorch

deep-learning geometric-deep-learning graph-convolutional-networks graph-neural-networks pytorch

Last synced: 11 May 2025

https://github.com/kmario23/deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

artificial-intelligence-algorithms artificial-neural-networks bayesian-statistics computer-vision deep-learning deep-neural-networks deep-reinforcement-learning explainable-ai geometric-deep-learning graph-neural-networks machine-learning medical-imaging natural-language-processing optimization pattern-recognition probabilistic-graphical-models probability reinforcement-learning speech-recognition visual-recognition

Last synced: 25 Mar 2025

https://github.com/stellargraph/stellargraph

StellarGraph - Machine Learning on Graphs

data-science deep-learning gcn geometric-deep-learning graph-analysis graph-convolutional-networks graph-data graph-machine-learning graph-neural-networks graphs heterogeneous-networks interpretability link-prediction machine-learning machine-learning-algorithms networkx python saliency-map stellargraph-library

Last synced: 14 May 2025

https://github.com/ranahanocka/MeshCNN

Convolutional Neural Network for 3D meshes in PyTorch

3d computer-graphics convolutional-neural-networks geometric-deep-learning machine-learning mesh pytorch segmentation

Last synced: 20 Mar 2025

https://github.com/pypose/pypose

A library for differentiable robotics.

autonomous-robots computer-graphics control deep-learning geometric-deep-learning kalman-filter learning lie-group optimization physics planning pose-estimation pose-graph-optimization python pytorch robotics slam

Last synced: 14 May 2025

https://github.com/lightaime/deep_gcns_torch

Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

3d-point-clouds bioinformatics cheminformatics computer-vision data-mining deep-gcns deep-learning geometric-deep-learning graph-convolutional-networks graph-neural-networks pytorch science-research social-network

Last synced: 16 May 2025

https://github.com/a-r-j/graphein

Protein Graph Library

bioinformatics computational-biology deep-learning dgl drug-discovery gene-regulatory-networks geometric-deep-learning graph-neural-networks interactome interactomics ppi-networks protein protein-data-bank protein-design protein-structure python pytorch pytorch-geometric rna structural-biology

Last synced: 14 May 2025

https://github.com/rusty1s/pytorch_cluster

PyTorch Extension Library of Optimized Graph Cluster Algorithms

cluster-algorithms geometric-deep-learning graph-neural-networks pytorch

Last synced: 14 May 2025

https://github.com/awslabs/dgl-lifesci

Python package for graph neural networks in chemistry and biology

bioinformatics cheminformatics deep-learning dgl drug-discovery geometric-deep-learning graph-neural-networks molecule

Last synced: 15 May 2025

https://github.com/astrazeneca/chemicalx

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

biology chemistry deep-chemistry deep-learning drug drug-discovery drug-interaction drug-pair geometric-deep-learning geometry graph-neural-network machine-learning pharma polypharmacy pytorch smiles smiles-strings torch torchdrug

Last synced: 16 May 2025

https://github.com/AstraZeneca/chemicalx

A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

biology chemistry deep-chemistry deep-learning drug drug-discovery drug-interaction drug-pair geometric-deep-learning geometry graph-neural-network machine-learning pharma polypharmacy pytorch smiles smiles-strings torch torchdrug

Last synced: 27 Mar 2025

https://github.com/lightaime/deep_gcns

Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

3d-point-clouds deep-gcns geometric-deep-learning graph-neural-networks

Last synced: 03 May 2025

https://github.com/typedb/typedb-ml

TypeDB-ML is the Machine Learning integrations library for TypeDB

ai artificial-intelligence geometric-deep-learning grakn graph graph-convolutional-networks graph-networks graphs graql knowledge-graph knowledge-graph-completion knowledgebase link-prediction machine-learning ml neural-network python relational-learning tensorflow

Last synced: 14 Dec 2025

https://github.com/edisonleeeee/graphgallery

GraphGallery is a gallery for benchmarking Graph Neural Networks

adversarial-machine-learning dgl geometric-deep-learning graph graph-neural-networks graphgallery models pyg pytorch

Last synced: 12 Apr 2025

https://github.com/EdisonLeeeee/GraphGallery

GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.

adversarial-machine-learning dgl geometric-deep-learning graph graph-neural-networks graphgallery models pyg pytorch

Last synced: 01 May 2025

https://github.com/chaitjo/geometric-gnn-dojo

Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.

e3nn equivariance equivariant-networks geometric-deep-learning geometric-graphs graph-isomorphism graph-neural-networks pytorch pytorch-geometric

Last synced: 05 Apr 2025

https://github.com/quva-lab/escnn

Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/

deep-learning equivariance geometric-deep-learning geometry invariant isometries pytorch rotations symmetries

Last synced: 16 May 2025

https://github.com/yochengliu/relation-shape-cnn

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

3d-convolutional-network 3d-graphics 3d-point-clouds 3d-shape-recognition 3d-shape-segmentation artificial-intelligence convolutional-neural-network deep-learning geometric-deep-learning normal-estimation

Last synced: 06 Apr 2025

https://github.com/Yochengliu/Relation-Shape-CNN

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

3d-convolutional-network 3d-graphics 3d-point-clouds 3d-shape-recognition 3d-shape-segmentation artificial-intelligence convolutional-neural-network deep-learning geometric-deep-learning normal-estimation

Last synced: 20 Mar 2025

https://github.com/microsoft/ptgnn

A PyTorch Graph Neural Network Library

deep-learning geometric-deep-learning gnn graph-neural-networks pytorch

Last synced: 04 Apr 2025

https://github.com/QUVA-Lab/escnn

Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/

deep-learning equivariance geometric-deep-learning geometry invariant isometries pytorch rotations symmetries

Last synced: 04 May 2025

https://github.com/fluxml/geometricflux.jl

Geometric Deep Learning for Flux

deep-learning flux geometric-deep-learning graph-neural-networks juliagraphs machine-learning

Last synced: 30 Jul 2025

https://github.com/FluxML/GeometricFlux.jl

Geometric Deep Learning for Flux

deep-learning flux geometric-deep-learning graph-neural-networks juliagraphs machine-learning

Last synced: 04 May 2025

https://github.com/quiver-team/torch-quiver

PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.

distributed-computing geometric-deep-learning gpu-acceleration graph-learning graph-neural-networks pytorch

Last synced: 04 Apr 2025

https://github.com/qitianwu/DIFFormer

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

attention diffusion diffusion-equation geometric-deep-learning graph-neural-networks graph-transformer iclr2023 image-classification large-graph node-classification pytorch pytorch-geometric pytorch-geometric-temporal spatial-temporal-forecasting text-classification transformer

Last synced: 27 Mar 2025

https://github.com/lukaszahradnik/pyneuralogic

PyNeuraLogic lets you use Python to create Differentiable Logic Programs

deep-learning differentiable-programming geometric-deep-learning graph-neural-networks logic-programming machine-learning python pytorch relational-learning

Last synced: 08 Jun 2026

https://github.com/atomicarchitects/equiformer_v2

[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

ai-for-science catalyst-design computational-chemistry computational-physics deep-learning drug-discovery e3nn equivariant-graph-neural-network equivariant-neural-networks force-fields geometric-deep-learning graph-neural-networks interatomic-potentials machine-learning materials-science molecular-dynamics pytorch

Last synced: 17 Jan 2026

https://github.com/rusty1s/deep-graph-matching-consensus

Implementation of "Deep Graph Matching Consensus" in PyTorch

geometric-deep-learning graph-matching graph-neural-networks neighborhood-consensus pytorch

Last synced: 17 Oct 2025

https://github.com/vijaydwivedi75/gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

attention geometric-deep-learning gnn gnn-lspe graph-deep-learning graph-neural-networks graph-representation-learning graph-transformer graphs lspe message-passing molecules positional-encoding representation-learning transformer-networks transformers

Last synced: 03 Apr 2025

https://github.com/atomicarchitects/equiformer

[ICLR 2023 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

ai-for-science catalyst-design computational-chemistry deep-learning drug-discovery e3nn equivariant-graph-neural-network equivariant-neural-networks force-fields geometric-deep-learning graph-neural-networks interatomic-potentials machine-learning materials-science molecular-dynamics pytorch

Last synced: 17 Jan 2026

https://github.com/minkaixu/geoldm

Geometric Latent Diffusion Models for 3D Molecule Generation

deep-generative-model diffusion-models drug-discovery geometric-deep-learning icml-2023 molecule molecule-generation

Last synced: 10 Apr 2025

https://github.com/basiralab/GNNs-in-Network-Neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

biomarker brain-connectivity brain-disorders brain-gnn gans geometric-deep-learning gnn gnns graph-fusion graph-integration graph-neural-network graph-prediction graph-superresolution graph-synthesis graph-timeseries network-neuroscience predictive-intelligence

Last synced: 01 May 2025

https://github.com/abhi1kumar/DEVIANT

[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection

3d-computer-vision 3d-object-detection autonomous-driving autonomous-vehicle depth-equivariance eccv eccv-2022 eccv2022 equivariance geometric-deep-learning kitti-3d monocular-3d-detection monocular-3d-localization nuscenes object-detection one-stage-detector projective-geometry projective-manifold waymo

Last synced: 20 Mar 2025

https://github.com/pyg-team/pyg-lib

Low-Level Graph Neural Network Operators for PyG

deep-learning geometric-deep-learning graph-convolutional-networks graph-neural-networks pytorch

Last synced: 08 Apr 2025

https://github.com/mims-harvard/txgnn

TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design

drug-design drug-discovery geometric-deep-learning graph-neural-networks indications-and-warning knowledge-graph precision-medicine therapeutics

Last synced: 10 Oct 2025

https://github.com/rusty1s/pytorch_spline_conv

Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch

geometric-deep-learning graph-neural-networks pytorch spline-cnn

Last synced: 14 May 2025

https://github.com/alibaba/curvature-learning-framework

Curvlearn, a Tensorflow based non-Euclidean deep learning framework.

geometric-deep-learning hyperbolic non-euclidean-deep-learning tensorflow

Last synced: 14 Oct 2025

https://github.com/microsoft/cliffordlayers

geometric-deep-learning pytorch

Last synced: 20 Sep 2025

https://github.com/lightaime/sgas

SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas

3d-point-clouds automl bioinformatics computer-vision deep-gcns geometric-deep-learning graph-neural-networks neural-architecture-search

Last synced: 03 May 2025

https://github.com/alibaba/Curvature-Learning-Framework

Curvlearn, a Tensorflow based non-Euclidean deep learning framework.

geometric-deep-learning hyperbolic non-euclidean-deep-learning tensorflow

Last synced: 09 May 2025

https://github.com/shchur/overlapping-community-detection

Implementation of "Overlapping Community Detection with Graph Neural Networks"

community-detection geometric-deep-learning graph-neural-networks overlapping-community-detection pytorch

Last synced: 22 Aug 2025

https://github.com/mengliu1998/deepergnn

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

geometric-deep-learning graph-neural-networks node-classification semi-supervised-learning

Last synced: 27 Apr 2025

https://github.com/PKU-DAIR/SGL

A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)

deep-learning geometric-deep-learning graph-neural-networks network-embedding neural-architecture-search pytorch scalable-graph-learning

Last synced: 21 Jul 2025

https://github.com/rubenwiersma/deltaconv

Code for the SIGGRAPH 2022 paper "DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds."

differential-geometry geometric-deep-learning graph-learning point-cloud point-cloud-classification point-cloud-segmentation pytorch

Last synced: 07 Oct 2025

https://github.com/chaitjo/geometric-rna-design

gRNAde: Geometric Deep Learning for 3D RNA inverse design

biomolecule-design geometric-deep-learning graph-neural-networks inverse-design pytorch pytorch-geometric rna-structure

Last synced: 02 Sep 2025

https://github.com/yochengliu/densepoint

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

3d-convolutional-network 3d-graphics 3d-point-clouds 3d-shape-recognition 3d-shape-segmentation artificial-intelligence convolutional-neural-networks deep-learning geometric-deep-learning normal-estimation

Last synced: 28 Apr 2025

https://github.com/Yochengliu/DensePoint

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

3d-convolutional-network 3d-graphics 3d-point-clouds 3d-shape-recognition 3d-shape-segmentation artificial-intelligence convolutional-neural-networks deep-learning geometric-deep-learning normal-estimation

Last synced: 20 Mar 2025

https://github.com/alexduvalinho/geometric-gnns

List of Geometric GNNs for 3D atomic systems

ai4science coding-resource datasets equivariant-networks geometric-deep-learning graph-neural-networks molecules-and-materials

Last synced: 01 Feb 2026

https://github.com/LBM-EPFL/PeSTo

Geometric deep learning method to predict protein binding interfaces from a protein structure.

deep-learning geometric-deep-learning protein-binding-site protein-protein-interface protein-structure pytorch

Last synced: 01 May 2025

https://github.com/vLAR-group/OGC

🔥OGC in PyTorch (NeurIPS 2022)

autonomous-vehicles geometric-deep-learning object-detection object-segmentation point-cloud scene-flow-estimation scene-understanding unsupervised-learning

Last synced: 20 Mar 2025

https://github.com/lab-cosmo/sphericart

Multi-language library for the calculation of spherical harmonics in Cartesian coordinates

geometric-deep-learning python pytorch spherical-harmonics

Last synced: 17 Feb 2026

https://github.com/jiangzhongshi/surfacenetworks

Source code for CVPR 2018 Oral paper "Surface Networks"

cvpr2018 geometric-deep-learning graph-neural-networks

Last synced: 18 Sep 2025

https://github.com/rubenwiersma/hsn

Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features

3d convolutional-neural-networks geometric-deep-learning pytorch pytorch-geometric siggraph

Last synced: 11 Aug 2025

https://github.com/lucidrains/vn-transformer

A Transformer made of Rotation-equivariant Attention using Vector Neurons

artificial-intelligence attention-mechanism deep-learning geometric-deep-learning transformers

Last synced: 22 Aug 2025

https://github.com/mims-harvard/pinnacle

Contextual AI models for single-cell protein biology

context-aware contextual geometric-deep-learning graph-neural-networks proteins therapeutics

Last synced: 10 Oct 2025

https://github.com/rusty1s/himp-gnn

Hierarchical Inter-Message Passing for Learning on Molecular Graphs

geometric-deep-learning graph-neural-networks graph-pooling junction-tree molecular-graph pytorch

Last synced: 30 Apr 2025

https://github.com/zaixizhang/FLAG

Implementation of ICLR23 paper "Molecule Generation for Target Protein Binding with Structural Motifs"

drug-discovery generative-ai geometric-deep-learning protein-ligand-interactions

Last synced: 14 May 2026

https://github.com/zetayue/MXMNet

Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"

computational-biology deep-learning drug-discovery geometric-deep-learning graph-neural-networks machine-learning

Last synced: 21 Jul 2025

https://github.com/XuyangBai/KPConv.pytorch

PyTorch reimplementation for "KPConv: Flexible and Deformable Convolution for Point Clouds" https://arxiv.org/abs/1904.08889

3d-point-clouds geometric-deep-learning kpconv pytorch

Last synced: 20 Mar 2025

https://github.com/lsj2408/gaunt-tensor-product

[ICLR 2024 Spotlight] Official Implementation of "Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products"

equivariant-network euclidean-group fft geometric-deep-learning tensor-product

Last synced: 13 Oct 2025

https://github.com/kleinyuan/rggnet

[RA-L 2020] Official Tensorflow Implementation for "RGGNet: Tolerance Aware LiDAR-Camera Online Calibration with Geometric Deep Learning and Generative Model", IEEE Robotics and Automation Letters 5.4 (2020): 6956-6963

autonomous-driving geometric-deep-learning lidar-camera-calibration

Last synced: 08 May 2025

https://github.com/minkaixu/egno

ICML2024: Equivariant Graph Neural Operator for Modeling 3D Dynamics

dynamic-simulations geometric-deep-learning graph-neural-networks molecular-dynamics neural-operator

Last synced: 11 Jul 2025

https://github.com/passionlab/openequivariance

OpenEquivariance: a fast, open-source GPU JIT kernel generator for the Clebsch-Gordon Tensor Product.

cuda equivariance geometric-deep-learning graph-neural-networks sparse-tensors

Last synced: 16 Jan 2026

https://github.com/QiujieDong/Laplacian2Mesh

Laplacian2Mesh: Laplacian-Based Mesh Understanding

geometric-deep-learning implicit-geodesic-connection laplacian-beltrami-space mesh-processing

Last synced: 20 Mar 2025

https://github.com/mims-harvard/SPECTRA

SPECTRA: Spectral framework for evaluation of biomedical AI models

benchmark-framework benchmarking foundation-models geometric-deep-learning large-language-models protein-language-model protein-sequences protein-structure

Last synced: 14 May 2026

https://github.com/sophiaas/spectral-universality

Official PyTorch and JAX Implementation of "Harmonics of Learning: Universal Fourier Features Emerge in Invariant Networks"

fourier geometric-deep-learning group-theory invariance

Last synced: 03 Mar 2026

https://github.com/andreasmazur/geoconv

A Python library for end-to-end learning on surfaces. It implements pre-processing functions that include geodesic algorithms, neural network layers that operate on surfaces, visualization tools and benchmarking functionalities.

benchmarking convolutional-neural-networks deep-learning deep-neural-networks geodesic-algorithm geometric-deep-learning geometry-processing keras machine-learning neural-network neural-networks tensorflow visualization

Last synced: 26 Jul 2025

https://github.com/mims-harvard/gnndelete

General Strategy for Unlearning in Graph Neural Networks

geometric-deep-learning graph-learning graph-neural-networks knowledge-graph machine-unlearning representation-learning

Last synced: 10 Oct 2025

https://github.com/alexoarga/haiku-geometric

A collection of graph neural networks implementations in JAX

deep-learning geometric-deep-learning graph-neural-networks jax machine-learning python

Last synced: 16 Oct 2025

https://github.com/zaixizhang/DrugGPS_ICML23

Implementation of ICML23 paper "Learning Subpocket Prototypes for Generalizable Structure-based Drug Design"

drug-discovery generalization generative-model geometric-deep-learning

Last synced: 14 May 2026

https://github.com/safreita1/malnet-graph

A large-scale database for graph representation learning

artificial-intelligence data-mining data-science deep-learning embedded geometric-deep-learning graph graph-algorithms graph-classification graph-embedding machine-learning neural-networks representation-learning

Last synced: 01 Feb 2026

https://github.com/changkun/gp

🏭 Geometry Processing at LMU Munich

geometric-deep-learning geometry-processing lmu-munich

Last synced: 21 Apr 2025

https://github.com/Sentinal4D/cellshape

3D shape analysis using deep learning

cancer-biology cell-biology deep-learning geometric-deep-learning

Last synced: 07 May 2025

https://github.com/LigandPro/Matcha

Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.

alphafold3 computational-chemistry docking drug-design drug-discovery flowmatching geometric-deep-learning gnina ml molecular-docking posebusters protein-ligand pytorch rdkit

Last synced: 06 Jul 2026

https://github.com/chaitjo/learning-paradigms-for-tsp

Code for the paper 'On Learning Paradigms for the Travelling Salesman Problem' (NeurIPS 2019 Graph Representation Learning Workshop)

combinatorial-optimization deep-learning geometric-deep-learning graph-neural-networks pytorch travelling-salesman-problem

Last synced: 01 Apr 2025

https://github.com/wzjoriv/Lign

Lign (/lignə/): Extension to PyTorch for graphs and geometric deep learning

gcn geometric-deep-learning graph-theory neural-networks pytorch

Last synced: 12 Jul 2025

https://github.com/brian-hepler-phd/spherical-cnn

Interactive exploration of equivariant neural networks on homogeneous spaces, with a focus on the sphere S² as SO(3)/SO(2). From Lecture 8 of the Lie groups course with Quantum Formalism

e3nn equivariant-neural-networks geometric-deep-learning homogeneous-spaces lie-groups machine-learning pytorch representation-theory scientific-computing spherical-cnn

Last synced: 02 Aug 2025

https://github.com/graph-com/lri

[ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.

deep-learning geometric-deep-learning graph-neural-networks interpretability interpretable-machine-learning pytorch xai

Last synced: 27 Jul 2025

https://github.com/innerlee/gcr

Official repository for ICCV 2023: Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class

classification geometric-deep-learning grassmann-manifold iccv2023 transfer-learning

Last synced: 12 Apr 2025

https://github.com/graph-com/hept

[ICML'24 Oral] LSH-Based Efficient Point Transformer (HEPT)

ai4science geometric-deep-learning hep-ex point-cloud pytorch transformer

Last synced: 27 Jul 2025

https://github.com/aidos-lab/neural-k-forms

Simplicial Representation Learning with Neural k-Forms

geometric-deep-learning iclr2024 topological-data-analysis topological-deep-learning

Last synced: 20 Jul 2025

https://github.com/lirongwu/dcv

Code for TNNLS paper "Deep Clustering and Visualization for End-to-End High Dimensional Data analysis"

clustering geometric-deep-learning high-dimensional-data manifold-learning visualization

Last synced: 13 Apr 2025

https://github.com/tensorush/neural-network-zoo

:brain: :spider_web: Neural network architectures implemented in PyTorch for educational purposes (12.02.2021).

computer-vision deep-learning geometric-deep-learning image-synthesis model-zoo natural-language-processing neural-network neural-network-architectures neural-networks neural-style-transfer papers pytorch reinforcement-learning speech-recognition style-transfer video-enhancement

Last synced: 20 Aug 2025

https://github.com/aiporre/gcn_segmentation

Stroke-GFCN: segmentation of Ischemic brain lesions

brain-imaging deep-learning fully-convolutional-networks geometric-deep-learning machile-learning medical-image-processing segmentation stroke-prediction unet-image-segmentation vessel-segmentation

Last synced: 13 Jul 2025

https://github.com/apjansen/groco

Implementation of Group-Convolutions as Keras layers.

computer-vision convolutional-neural-networks deep-learning equivariance geometric-deep-learning keras

Last synced: 12 Apr 2025

https://github.com/sophiaas/gtc-invariance

Official PyTorch Implementation of "A General Framework for Robust G-Invariance in G-Equivariant Networks," NeurIPS 2023

bispectrum convolutional-neural-networks deep-learning equivariance geometric-deep-learning group-theory invariance

Last synced: 23 Sep 2025

https://github.com/aidos-lab/rings

Relevant Information in Node features and Graph Structure

data-centric evaluation-framework geometric-deep-learning graph-learning icml-2025

Last synced: 05 Feb 2026

https://github.com/colltoaction/nx_yaml

A higher-order syntax

category-theory geometric-deep-learning higher-order hypergraph intermediate-representation language network-analysis networkx programming-language yaml

Last synced: 11 Apr 2025

https://github.com/lfkrapp/kitchenware

A Python toolkit for processing and analyzing molecular structures, optimized for deep learning applications in structural biology.

deep-learning geometric-deep-learning protein-structure protein-structure-analysis pytorch

Last synced: 14 Jan 2026

https://github.com/dgcnz/relaxed-equivariance-dynamics

Code for "Effect of equivariance on training dynamics"

deep-learning equivariance geometric-deep-learning training-dynamics

Last synced: 09 Feb 2026

https://github.com/aidos-lab/inner-product-transforms

Point Cloud Synthesis Using Inner Product Transforms

geometric-deep-learning neurips-2025 topological-deep-learning

Last synced: 29 Jun 2026

https://github.com/adosar/aidsorb

Python package for deep learning on molecular point clouds.

3d-deep-learning 3d-point-clouds deep-learning geometric-deep-learning machine-learning material-informatics metal-organic-frameworks point-clouds pytorch pytorch-lightning

Last synced: 13 May 2025

https://github.com/csinva/scattering-transform-experiments

Repository for experiments with scattering transforms

ai convolutional-neural-networks deep-learning geometric-deep-learning machine-learning ml scale scattering-transform statistics

Last synced: 02 Apr 2025

https://github.com/filippomb/tutorial_gnn_explainability

This in an introduction to PyTorch Geometric, the deep learning library for Graph Neural Networks, and to interpretability tools for analyzing the decision process of a GNN.

captum explainability explainable-ai geometric-deep-learning graph-neural-networks pytorch-geometric tutorial tutorial-code