kunzhan
Kun Zhan received the BS and PhD degrees from Lanzhou University, China, in 2005 and 2010, respectively. Currently, He works in Lanzhou University.
Lanzhou University
kunzhan's Stars
asheeshcric/awesome-contrastive-self-supervised-learning
A comprehensive list of awesome contrastive self-supervised learning papers.
amzn/credence-to-causal-estimation
A framework for generating complex and realistic datasets for use in evaluating causal inference methods.
twitter-research/graph-neural-pde
Graph Neural PDEs
ttengwang/Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
lllyasviel/ControlNet
Let us control diffusion models!
JinyuanLiu-CV/TarDAL
CVPR 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
google-research/uda
Unsupervised Data Augmentation (UDA)
zhibotian/Semi
Rencent Semi-Supervised Semantic Segmentation Projects
LinXueyuanStdio/chatgpt-review-rebuttal-extension
ChatGPT - Review & Rebuttal: A browser extension for generating reviews and rebuttals, powered by ChatGPT. 利用 ChatGPT 生成审稿意见和回复的浏览器插件
TACJu/PartImageNet
Introduction and scripts for the paper "PartImageNet: A Large, High-Quality Dataset of Parts" (Ju He, Shuo Yang, Shaokang Yang, Adam Kortylewski, Xiaoding Yuan, Jie-Neng Chen, Shuai Liu, Cheng Yang, Alan Yuille).
hsiangyuzhao/RCPS
official implementation of rectified contrastive pseudo supervision
Jin-Ying/GTA-Seg
Code for GTA-Seg (NeurIPS2022)
HeimingX/semi_seg_proto
Official implementation of "Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization" (NeurIPS2022)
junxia97/Mole-BERT
[ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
microsoft/computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
huangdonghere/FastMICE
Matlab code for the TKDE 2023 paper "Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity".
Luffy03/CISC-R
[TPAMI 2022] Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation
facebookresearch/DiT
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
zyzisastudyreallyhardguy/UGCL
The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"
shenxiaocam/NCLA
Neighbor Contrastive Learning on Learnable Graph Augmentation
kaize0409/awesome-graph-data-augmentaion
A curated list of publications and code about data augmentaion for graphs.
no13bus/chat-gpt-zhihu-extension
ChatGPT的知乎回答小帮手,利用AI来协助你回答知乎问题
wangsiwei2010/awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
gokceneraslan/awesome-deepbio
A curated list of awesome deep learning applications in the field of computational biology
kepsail/SHGP
NeurIPS 2022 - SHGP
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.
zhangyuxin621/AMSL
Adaptive Memory Networks with Self-supervised Learning for Unsupervised Anomaly Detection (AMSL) -open source
biomedia-mira/deepscm
Repository for Deep Structural Causal Models for Tractable Counterfactual Inference