Pinned Repositories
aaai-template
latex template for various conferences, as well as wise-man's overleaf (overleaf is terrible!)
alibi-detect
Algorithms for outlier, adversarial and drift detection
awesome-causality-algorithms
An index of algorithms for learning causality with data
awesome-database-learning
A list of learning materials to understand databases internals
BioGPT
canopyKmeans_improved
This is an implementation of the paper on "Improved K-means algorithm based on density Canopy".
DeepLearningTutorials
Deep Learning Tutorial notes and code. See the wiki for more info.
task1-OpenHowNet
基于OpenHowNet实现上下位关系自动抽取
task2-cilin
基于同义词词林实现上下位关系自动抽取
task3-WordNet
基于Chinese Open Wordnet实现上下位关系自动抽取
HapuHXY's Repositories
HapuHXY/aaai-template
latex template for various conferences, as well as wise-man's overleaf (overleaf is terrible!)
HapuHXY/alibi-detect
Algorithms for outlier, adversarial and drift detection
HapuHXY/awesome-causality-algorithms
An index of algorithms for learning causality with data
HapuHXY/BioGPT
HapuHXY/ChatReviewer
ChatReviewer: use ChatGPT to review papers; ChatResponse: use ChatGPT to respond to reviewers.
HapuHXY/Classical-Modern
非常全的文言文（古文）-现代文平行语料
HapuHXY/CS686-Project
HapuHXY/daily-interview
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
HapuHXY/Dassl.pytorch
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
HapuHXY/DIG
A library for graph deep learning research
HapuHXY/distribution_shift_framework
This repository contains the code of the distribution shift framework presented in A Fine-Grained Analysis on Distribution Shift (Wiles et al., 2022).
HapuHXY/Domain-generalization
All about domain generalization
HapuHXY/freeCodeCamp
freeCodeCamp.org's open-source codebase and curriculum. Learn to code for free.
HapuHXY/generative-ai-for-beginners
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
HapuHXY/grok-1
Grok open release
HapuHXY/hapuhxy.github.io
HapuHXY/ICT
Code for reproducing ICT (published in Neural Networks 2022, and in IJCAI 2019)
HapuHXY/machine_learning_basics
Plain python implementations of basic machine learning algorithms
HapuHXY/ml-road
Machine Learning Resources, Practice and Research
HapuHXY/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
HapuHXY/NJUCS-Course-Material
南京大学计算机系 课程资料 作业 代码 实验报告 NJU-CS 课程分享计划 :rice:
HapuHXY/ocd-journal
HapuHXY/orca
[ICLR 2022] Open-World Semi-Supervised Learning
HapuHXY/powerful-numpy
巨硬的NumPy
HapuHXY/PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
HapuHXY/Self-Supervised-Learning-Overview
📜 Self-Supervised Learning from Images: Up-to-date reading list.
HapuHXY/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
HapuHXY/StreaKHC
A novel incremental hierarchical clustering algorithm (KDD 22)
HapuHXY/torch_base
Quickly bring up your PyTorch project(a skeleton)
HapuHXY/Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]