rollingstonezz

rollingstonezz's Stars

• Zhuofeng-Li/TEG-Benchmark

  Language:Python9

• theislab/single-cell-tutorial

  Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"

  Language:Jupyter Notebook1.4k453

• HKUDS/GraphGPT

  [SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

  Language:Python53541

• heathersherry/Knowledge-Graph-Tutorials-and-Papers

  Insightful Tutorials and Papers about Knowledge Graphs

  734114

• sktsherlock/TAG-Benchmark

  Benchmark

  Language:Python7111

• rmokady/CLIP_prefix_caption

  Simple image captioning model

  Language:Jupyter Notebook1.3k214

• andrewekhalel/MLQuestions

  Machine Learning and Computer Vision Engineer - Technical Interview Questions

  2.9k489

• codewithsadee/vcard-personal-portfolio

  vCard is a fully responsive personal portfolio website, responsive for all devices.

  Language:HTML5.3k2.2k

• theJokerEvoker/neuromorpho_GNN

  Neuron classification with neural data from NeuroMorpho.org using graph neural networks. Developed with code from @rollingstonezz.

  Language:Python1

• CurryTang/Graph-LLM

  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

  Language:Python24025

• ReaVNaiL/New-Grad-2024

  👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀

  Language:Python6.3k570

• yzhao062/UOMS

  Resources and environment for unsupervised outlier model selection (UOMS)

  Language:Jupyter Notebook232

• TTN-YKK/Clustering_friendly_representation_learning

  Language:Python539

• Yunfan-Li/Twin-Contrastive-Learning

  Code for the paper "Twin Contrastive Learning for Online Clustering" (IJCV 2022)

  Language:Python5611

• zhoushengisnoob/DeepClustering

  Methods and Implements of Deep Clustering

  2.8k415

• zhangsz1998/Self-Expressive-Network

  Language:Python3219

• rymc/n2d

  A deep clustering algorithm. Code to reproduce results for our paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.

  Language:Python12621

• jwyang/JULE.torch

  Torch code for our CVPR 2016 paper "Joint Unsupervised LEarning of Deep Representations and Image Clusters"

  Language:MATLAB28782

• alexfanjn/Graph-Neural-Networks-With-Heterophily

  This repository contains the resources on graph neural network (GNN) considering heterophily.

  21620

• ldeecke/gmm-torch

  Gaussian mixture models in PyTorch.

  Language:Python50285

• BaiTheBest/DRAIN

  GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"

  Language:Python532

• tim-learn/SHOT-plus

  code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

  Language:Python11020

• tim-learn/SHOT

  code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation"

  Language:Python43277

• bdy9527/SDCN

  Structural Deep Clustering Network

  Language:Python26073

• MaziarMF/deep-k-means

  Language:Python9122

• vlukiyanov/pt-dec

  PyTorch implementation of DEC (Deep Embedding Clustering)

  Language:Python30457

• rollingstonezz/subgraph_anomaly_detection_icdm22

  The official repository for ICDM 22' paper "Unsupervised Deep Subgraph Anomaly Detection"

  Language:Python91

• ranahanocka/MeshCNN

  Convolutional Neural Network for 3D meshes in PyTorch

  Language:Python1.6k316

• lzhengning/SubdivNet

  Subdivision-based Mesh Convolutional Networks.

  Language:Python24734

• facebookresearch/DensePose

  A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

  Language:Jupyter Notebook7k1.3k