Stars
An implementation of Performer, a linear attention-based transformer, in Pytorch
Fast and memory-efficient exact attention
Graph Neural Network Library for PyTorch
The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).
This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", which is accepted to ICLR 2023.
SketchINR: A First Look into Sketches as Implicit Neural Representations [CVPR 2024]
😎 Awesome lists about all kinds of interesting topics
[ECCV 2018] SketchyScene: Richly-Annotated Scene Sketches
A tool to modify ONNX models in a visualization fashion, based on Netron and Flask.
This is a hand gesture recognition program that replaces the entire MediaPipe process with ONNX. Simultaneous detection of multiple palms and a simple tracker are additionally implemented. In addit…
A collection of pre-trained, state-of-the-art models in the ONNX format
Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric
Graphormer is a general-purpose deep learning backbone for molecular modeling.
Rockchip Userspace Mali GPU Driver and Debian Packages (Mirror of https://github.com/JeffyCN/mirrors/tree/libmali)
[NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".
Bag of Tricks for Graph Neural Networks.
gravlaks / EvolveGCN
Forked from IBM/EvolveGCNCode for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
An Explainable Method for Alzheimer’s Disease Diagnosis with Brain Imaging Genetic Data by Incorporating Multi-stream Attention Mechanisms and Graph Convolutional Networks
🦜🔗 Build context-aware reasoning applications
Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/