AAAEEEE's repositories
GraSP
GraSP: a Graph Signal Processing toolbox for Matlab
NVS2Graph
Repo for "Graph-based Object Classification for Neuromorphic Vision Sensing" ICCV2019
2013-CVPR-SSSC
Scalable Sparse Subspace Clustering, CVPR2013
Person_reID_baseline_pytorch
A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
VERI-Wild
A Large-Scale Dataset for Vehicle Re-Identification in the Wild
GEM-Benchmark
Benchmark for Graph Embedding Methods
attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
Interpretable_CNNs_via_Feedforward_design
Official Implementation for FF_designed CNNs
GAM
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
graphvite
A general and high-performance graph embedding system for various applications
mmdetection
Open MMLab Detection Toolbox and Benchmark
GNNPapers
Must-read papers on graph neural networks (GNN)
FAI-PEP
Facebook AI Performance Evaluation Platform
dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
pytorch_geometric
Geometric Deep Learning Extension Library for PyTorch
fast_text_gcn
FastGCN for inductive text classification
pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
dsi-shield
Arduino MIPI DSI Shield
grad-cam.tensorflow
Implementation of Grad CAM in tensorflow
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
OpenNE
An Open-Source Package for Network Embedding (NE)
Financial-DataMining
predict future stock price by machine learning algorithms, SJTU EE359 DataMining
visual-compatibility
Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)
Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
SPTAG
A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.
AG-CNN
The model of "Attention Based Glaucoma Detection: A Large-scale Database with a CNN Model" (CVPR2019)
Prototypical-Networks-for-Few-shot-Learning-PyTorch
Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch