kunzhan

kunzhan's Stars

• gokceneraslan/awesome-deepbio

  A curated list of awesome deep learning applications in the field of computational biology

  1.9k314

• kepsail/SHGP

  NeurIPS 2022 - SHGP

  Language:Python292

• zoubohao/DenoisingDiffusionProbabilityModel-ddpm-

  This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

  Language:Python1.6k170

• zhangyuxin621/AMSL

  Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source

  Language:Python462

• biomedia-mira/deepscm

  Repository for Deep Structural Causal Models for Tractable Counterfactual Inference

  Language:Jupyter Notebook26953

• dyh127/MDM

  code for our work: Semi-supervised Multi-modal Brain Tumor Segmentation via Multi-modality Dependency Minimization

  1

• Jeaninezpp/FDAGF

  code of Let the data choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-view Clustering

  Language:MATLAB91

• xihongyang1999/CCGC

  [AAAI 2023] An official source code for paper Cluster-guided Contrastive Graph Clustering Network.

  Language:Python895

• yueliu1999/HSAN

  [AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.

  Language:Python25637

• LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

  Solutions of Reinforcement Learning, An Introduction

  Language:Jupyter Notebook2k466

• google-deepmind/deepmind-research

  This repository contains implementations and illustrative code to accompany DeepMind publications

  Language:Jupyter Notebook13.2k2.6k

• XuexiongLuoMQ/GLADC

  The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.

  Language:Python94

• yixinliu233/GREET

  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating

  Language:Python494

• parquets/DUDA-Online-Offline-Dual-Domain-Adaption-for-Semantic-Segmentation

  source code for "DUDA: Online-Offline Dual Domain Adaption for Semantic Segmentation". Accepted by BMVC 2022

  Language:Python41

• Stability-AI/diffusers

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

  Language:Python17742

• tuffr5/BrainbowTracing

  MATLAB code for neural tracing in Brainbow images

  Language:MATLAB2

• wanxinhang/AAAI-2023-AWMVC

  The code of AAAI 2023 ''Auto-Weighted Multi-View Clustering for Large-Scale Data''

  Language:MATLAB14

• Sanaelotfi/Bayesian_model_comparison

  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".

  Language:Jupyter Notebook354

• cornellius-gp/gpytorch

  A highly efficient implementation of Gaussian Processes in PyTorch

  Language:Python3.6k562

• lidangzzz/how-to-run-Q-and-A

  立党润学笔记问答

  47026

• justinpinkney/stable-diffusion

  Language:Jupyter Notebook1.5k266

• pesser/stable-diffusion

  Language:Jupyter Notebook1k400

• french-paragon/BayesianNeuralNetwork-Tutorial-Metarepos

  A meta repository pointing to the other repositories where the implementation of the supplementary examples for our tutorial "Hands-on Bayesian Neural Networks - A Tutorial for Deep Learning Users"

  11525

• nightrome/really-awesome-gan

  A list of papers on Generative Adversarial (Neural) Networks

  3.7k704

• VainF/DeepLabV3Plus-Pytorch

  Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

  Language:Python2k446

• openai/guided-diffusion

  Language:Python6.3k822

• csyanbin/3D-Medical-Generative-Survey

  254

• NVIDIA/CUDALibrarySamples

  CUDA Library Samples

  Language:Cuda1.6k344

• 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:TypeScript5.4k345