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Graph Neural Network Library for PyTorch
Created
2017-10-06
7,530 commits to master branch, last one 3 days ago
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
probability
optimization
deep-learning
explainable-ai
computer-vision
medical-imaging
machine-learning
speech-recognition
visual-recognition
bayesian-statistics
pattern-recognition
deep-neural-networks
graph-neural-networks
reinforcement-learning
geometric-deep-learning
artificial-neural-networks
deep-reinforcement-learning
natural-language-processing
probabilistic-graphical-models
artificial-intelligence-algorithms
Created
2018-11-26
153 commits to master branch, last one 2 years ago
StellarGraph - Machine Learning on Graphs
gcn
graphs
python
networkx
graph-data
data-science
saliency-map
deep-learning
graph-analysis
link-prediction
interpretability
machine-learning
stellargraph-library
graph-neural-networks
graph-machine-learning
heterogeneous-networks
geometric-deep-learning
machine-learning-algorithms
graph-convolutional-networks
Created
2018-04-13
2,535 commits to develop branch, last one 2 years ago
Convolutional Neural Network for 3D meshes in PyTorch
Created
2019-05-06
37 commits to master branch, last one 2 years ago
A library for differentiable robotics.
Created
2021-11-11
1,276 commits to main branch, last one 6 days ago
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Created
2019-07-30
312 commits to master branch, last one about a year ago
Protein Graph Library
Created
2019-08-28
796 commits to master branch, last one 12 days ago
PyTorch Extension Library of Optimized Graph Cluster Algorithms
Created
2018-01-12
600 commits to master branch, last one about a month ago
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Created
2021-12-06
318 commits to main branch, last one 8 months ago
Python package for graph neural networks in chemistry and biology
Created
2020-04-23
236 commits to master branch, last one about a year ago
TypeDB-ML is the Machine Learning integrations library for TypeDB
This repository has been archived
(exclude archived)
Created
2018-09-16
508 commits to master branch, last one 6 months ago
MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.
Created
2019-03-14
440 commits to master branch, last one 3 years ago
GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.
Created
2020-03-10
799 commits to master branch, last one 9 months ago
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks.
Created
2023-01-21
26 commits to main branch, last one 11 months ago
Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)
Created
2019-04-04
87 commits to master branch, last one 4 years ago
A PyTorch Graph Neural Network Library
Created
2020-05-12
99 commits to master branch, last one 2 years ago
Geometric Deep Learning for Flux
Created
2019-04-04
916 commits to master branch, last one 8 months ago
Official project website for the CVPR 2020 paper (Oral Presentation) "Cascaded deep monocular 3D human pose estimation wth evolutionary training data"
cvpr
smpl
dataset
2d-to-3d
cvpr2020
3d-human-pose
deep-learning
annotaton-tool
synthetic-data
bias-correction
kinematic-trees
data-augmentation
3d-computer-vision
3d-pose-estimation
human-pose-estimation
evolutionary-algorithms
geometric-deep-learning
feed-forward-neural-networks
generalization-on-diverse-scenes
Created
2020-02-28
96 commits to master branch, last one 2 years ago
Equivariant Steerable CNNs Library for Pytorch https://quva-lab.github.io/escnn/
Created
2022-03-16
244 commits to master branch, last one 7 months ago
PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.
Created
2020-08-17
135 commits to main branch, last one 9 months ago
Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)
This repository has been archived
(exclude archived)
Created
2019-06-03
12 commits to master branch, last one 2 years ago
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Created
2023-03-01
14 commits to main branch, last one 10 months ago
PyNeuraLogic lets you use Python to create Differentiable Logic Programs
Created
2020-12-06
955 commits to master branch, last one 18 days ago
Implementation of "Deep Graph Matching Consensus" in PyTorch
Created
2019-10-02
89 commits to master branch, last one 2 years ago
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Created
2021-09-13
6 commits to main branch, last one 2 years ago
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
Created
2021-06-07
9 commits to main branch, last one about a year ago
[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection
eccv
waymo
eccv2022
kitti-3d
nuscenes
eccv-2022
equivariance
object-detection
3d-computer-vision
autonomous-driving
autonomous-vehicle
depth-equivariance
one-stage-detector
3d-object-detection
projective-geometry
projective-manifold
monocular-3d-detection
geometric-deep-learning
monocular-3d-localization
Created
2022-07-04
35 commits to main branch, last one 5 months ago
[ICLR'23 Spotlight] Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Created
2023-02-28
3 commits to master branch, last one 11 months ago
A curated list of topological deep learning (TDL) resources and links.
Created
2022-05-23
85 commits to main branch, last one 24 days ago
Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
Created
2017-12-27
474 commits to master branch, last one about a month ago