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A Decentralized Algorithm for Kernel Principal Component Analysis
Recipe for a General, Powerful, Scalable Graph Transformer
Modified for use with foldbender. Cloned from https://github.com/hamed1375/Exphormer
(NeurIPS 2023) PyTorch implementation of "Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation"
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper
Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
A project to make the Divergence Meter from the anime Steins;Gate a reality, this repository contains hardware schematics and the software code that runs on it!
上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
A PyTorch Library for Meta-learning Research
Implementation of the paper "Towards Unbiased Random Features with Lower Variance For Stationary Indefinite Kernels"
This is an old version code for the paper Learn Robust Features via Orthogonal Multi-Path (https://arxiv.org/abs/2010.12190v1).
Pytorch0.4.1 codes for InsightFace
《机器学习理论导引》（宝箱书）的证明、案例、概念补充与参考文献讲解。
A python toolbox for support vector machine on both indefinite kernel learning and traditional methods(semi-definite)
Official implementation of "IKSVM-DC: Indefinite Kernel SVM with Difference of Convex Functions Programming" (AAAI2017)
py-faster-rcnn that can compile on windows directly
Tensorflow Faster RCNN for Object Detection----CPU version
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.