Graph Neural Network Library for PyTorch
- pytorch
- geometric-deep-learning
- graph-neural-networks
- deep-learning
Repository Index
47,133 repositories indexed
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[ECCV 2026 Best Paper Award Candidate] LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
COLMAP - Structure-from-Motion and Multi-View Stereo
- structure-from-motion
- multi-view-stereo
- reconstruction
- geometry
🐍 Geometric Computer Vision Library for Spatial AI
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
An open source library and framework for deep learning on satellite and aerial imagery.
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
- diffusion-models
- docking
- binding
- computational-biology
An autoML framework & toolkit for machine learning on graphs.
QuadriFlow: A Scalable and Robust Method for Quadrangulation
- quadriflow
- quad
- remeshing
- quadrangulation
Robust Tetrahedral Meshing in the Wild.
- geometry-processing
- tetrahedral-meshing
- surface-repair
- 3d-triangulation
Official Hi3D v1.0: high-resolution 3D geometry refinement built on Sparc3D. Inference code, model weights, and documentation.
- 3d-generation
- image-to-3d
- geometry-refinement
- sparc3d
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Imgcompress is a self-hosted image processing toolbox that handles compression, format conversion, and AI background removal in a single web interface. It supports over 70 input formats (including PSD, HEIC, and RAW) and can output common formats or generate PDFs, all without sending files to external services.
- imagecompression
- imageoptimizer
- self-hosted
- webtool
The official implementation of 'S4VY: Segment Anything in Feed-Forward 4D Visual Geometry'
High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees
A tool for quantitative risk analysis of Android applications based on machine learning techniques
- android
- risk
- android-permissions
- quantitative-risk-analysis
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
- gnn
- graph-neural-netowrks
- signed-networks
- directed-networks
Legend of Elya — N64 game with a real 6.36M-parameter ternary transformer on the VR4300 MIPS III CPU. Zelda-style dungeon, AI NPCs, byte-level inference at 1.23 tok/s scalar / 2.19 tok/s on the RSP overlay (measured under ares, never on silicon). Built with libdragon.
This repo is the official implementation of "F2G-Pose: Geometry-Aware Foundation Feature Lifting for Direct RGB-D Category-Level Object Pose Estimation".
A TensorFlow implementation of the Mnemonic Descent Method.
- tensorflow
- menpo
- face
- face-alignment
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
- ai-aided-drug-discovery
- awesome
- drug-discovery
- molecular-docking
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
- adversarial-attacks
- graph-convolutional-networks
- graph-neural-networks
- pytorch
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
- alphafold3
- docking
- drug-design
- drug-discovery