kunzhan

kunzhan's Stars

• HazyResearch/diffusers

  🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

  Language:Python505

• lidangzzz/How-to-run

  立党零基础转码笔记

  Language:TypeScript5.4k344

• MLNLP-World/Top-AI-Conferences-Paper-with-Code

  MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

  2.6k603

• wangsiwei2010/NeurIPS22-FMVACC

  Introduction and related code for our NeurIPS22 paper ‘ Align then Fusion: Generalized Large-scale Multi-view Clustering with Anchor Matching Correspondences’

  Language:MATLAB194

• Emiyalzn/GraphDE

  Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 2022).

  Language:Python203

• YangLing0818/Diffusion-Models-Papers-Survey-Taxonomy

  Diffusion model papers, survey, and taxonomy

  3k250

• dvlab-research/Parametric-Contrastive-Learning

  Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

  Language:Python24132

• chingyaoc/TMD

  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks

  Language:Python363

• dougbrion/pytorch-classification-uncertainty

  This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

  Language:Python43662

• LirongWu/KDGA

  Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"

  Language:Python20339

• jcteng/python-opengl-tutorial

  Python opengl-tutorial base on PyOpenGL.

  Language:Python14638

• PaulJuliusMartinez/jless

  jless is a command-line JSON viewer designed for reading, exploring, and searching through JSON data.

  Language:Rust4.8k92

• liliangnudt/MVBGC-NFF

  The code for MVBGC-NFF.

  Language:MATLAB212

• hazdzz/awesome-gnn

  A list for GNNs and related works.

  819

• yfzhang114/Generalization-Causality

  关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记

  1.2k101

• JunweiLiang/awesome_lists

  Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

  Language:Python1.4k81

• sixiaozheng/EVT-K-means

  Language:Python101

• lucidrains/denoising-diffusion-pytorch

  Implementation of Denoising Diffusion Probabilistic Model in Pytorch

  Language:Python8.3k1k

• crowsonkb/k-diffusion

  Karras et al. (2022) diffusion models for PyTorch

  Language:Python2.3k376

• iscyy/yoloair

  🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

  Language:Python2.5k430

• lucidrains/egnn-pytorch

  Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch

  Language:Python42170

• CompVis/latent-diffusion

  High-Resolution Image Synthesis with Latent Diffusion Models

  Language:Jupyter Notebook11.9k1.5k

• luyvlei/BiSMAPs

  Language:Python264

• facebookresearch/msn

  Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)

  Language:Python44933

• sail-sg/Adan

  Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

  Language:Python75964

• vturrisi/solo-learn

  solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

  Language:Python1.4k187

• mdbloice/Augmentor

  Image augmentation library in Python for machine learning.

  Language:Python5.1k866

• VisionLearningGroup/DAL

  Domain agnostic learning with disentangled representations

  Language:Python14428

• mil-tokyo/MCD_DA

  Language:Python559153

• bubbliiiing/yolov7-tiny-pytorch

  这是一个yolov7-tiny-pytorch的源码，可以用于训练自己的模型。

  Language:Python18733