CHAOZHAO-1
I am a doctoral student at Huazhong University of Science and Technology. Email: zhaochao734@hust.edu.cn
HUST&POLIMIMILANO
CHAOZHAO-1's Stars
pliang279/MultiBench
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
pliang279/awesome-multimodal-ml
Reading list for research topics in multimodal machine learning
HYM6666/fault_diagnosis_hym
Code sharing of fault diagnosis papers.
NAOSI-DLUT/Campus2024
2024届互联网校招信息汇总
PythonOT/POT
POT : Python Optimal Transport
binary-husky/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
caoyunkang/Segment-Any-Anomaly
Official implementation of "Segment Any Anomaly without Training via Hybrid Prompt Regularization (SAA+)".
caoyunkang/CPMF
[PR] Complementary Pseudo Multimodal Feature for Point Cloud Anomaly Detection
caoyunkang/IKD
[KBS 2022] Informative knowledge distillation for image anomaly segmentation
caoyunkang/CDO
[TII 2023] Collaborative Discrepancy Optimization for Reliable Image Anomaly Localization
olgabot/prettyplotlib
Painlessly create beautiful matplotlib plots.
dair-ai/ML-Papers-Explained
Explanation to key concepts in ML
xieliaing/CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版原作者:Matheus Facure
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
Wangt-CN/Awesome-Causality-in-CV
A curated list of Causality in Computer Vision
Vanint/Awesome-LongTailed-Learning
A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).
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
junkunyuan/Awesome-Domain-Generalization
Awesome things about domain generalization, including papers, code, etc.
thunlp/GNNPapers
Must-read papers on graph neural networks (GNN)
FighterLYL/GraphNeuralNetwork
《深入浅出图神经网络:GNN原理解析》配套代码
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
floodsung/Deep-Reasoning-Papers
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
iCGY96/awesome_OpenSetRecognition_list
A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition
atinghosh/VAE-pytorch
Variational auto encoder in pytorch
yuntaodu/Transfer-learning-materials
resource collection for transfer learning!
dk-liang/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
facebookresearch/DomainBed
DomainBed is a suite to test domain generalization algorithms
amber0309/Domain-generalization
All about domain generalization
MrMimic/data-scientist-roadmap
Toturials coming with the "data science roadmap" picture.