ljxw88

ljxw88's Stars

• amber0309/Domain-generalization

  All about domain generalization

  830125

• mperezcarrasco/PyTorch-DAGMM

  Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

  Language:Jupyter Notebook6015

• massgravel/Microsoft-Activation-Scripts

  Open-source Windows and Office activator featuring HWID, Ohook, KMS38, and Online KMS activation methods, along with advanced troubleshooting.

  Language:Batchfile98.1k9.6k

• cduck/hyperbolic

  A Python 3 library for constructing and drawing hyperbolic geometry

  Language:Python13425

• MinaGhadimiAtigh/HyperbolicImageSegmentation

  Hyperbolic Image Segmentation, CVPR 2022

  Language:Python747

• marlin-codes/Hyperbolic-Reading-Group

  Hyperbolic reading graph

  1

• ydtydr/HyLa

  This is the official repository for the paper "Laplacian Features for Learning with Hyperbolic Space"

  Language:Python111

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k689

• olivierverdier/python-latex-highlighting

  LaTeX style for Python highlighting

  Language:TeX454124

• CUAI/Differentiable-Frechet-Mean

  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).

  Language:Python533

• P2333/Bag-of-Tricks-for-AT

  Empirical tricks for training robust models (ICLR 2021)

  Language:Python24925

• geoopt/geoopt

  Riemannian Adaptive Optimization Methods with pytorch optim

  Language:Python84077

• Tiiiger/SGC

  official implementation for the paper "Simplifying Graph Convolutional Networks"

  Language:Python830146

• HazyResearch/HoroPCA

  Hyperbolic PCA via Horospherical Projections

  Language:Python6811

• bottlesdevs/Bottles

  Run Windows software and games on Linux

  Language:Python6.3k262

• FloatTech/ZeroBot-Plugin

  基于 ZeroBot 的 OneBot 插件

  Language:Go2.5k2k

• Chen-Cai-OSU/GNN-Over-Smoothing

  A Note On Over-Smoothing for Graph Neural Network

  Language:Python17

• zq1997/deepin-wine

  【deepin源移植】Debian/Ubuntu上的QQ/微信快速安装方式

  Language:Python5.1k387

• facebookresearch/poincare-embeddings

  PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

  Language:Python1.7k232

• HazyResearch/hgcn

  Hyperbolic Graph Convolutional Networks in PyTorch.

  Language:Python593107

• marlin-codes/Awesome-Hyperbolic-Representation-and-Deep-Learning

  Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

  33931

• geomstats/geomstats

  Computations and statistics on manifolds with geometric structures.

  Language:Jupyter Notebook1.2k250

• mil-tokyo/hyperbolic_nn_plusplus

  Official PyTorch implementation of Hyperbolic Neural Networks++

  Language:Python637

• xiaoiker/Awesome-Hyperbolic-NeuralNetworks

  Papers and Codes for the deep learning in hyperbolic space

  17115

• mamoe/mirai

  高效率 QQ 机器人支持库

  Language:Kotlin14.4k2.5k

• Shengyu-Feng/ARIEL

  Language:Python62

• Alexkael/S2O

  Language:Python253

• facebookresearch/barlowtwins

  PyTorch implementation of Barlow Twins.

  Language:Python961128

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.2k460

• BoltzmannEntropy/interviews.ai

  It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

  4.5k295