Hoper-J's starred repositories
efficient-kan
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
awesome-DeepLearning
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
github-markdown-toc
Easy TOC creation for GitHub README.md
dalle-mini
DALL·E Mini - Generate images from a text prompt
motion-diffusion-model
The official PyTorch implementation of the paper "Human Motion Diffusion Model"
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
Awesome-Weakly-Supervised-Semantic-Segmentation-Papers
Recent weakly supervised semantic segmentation paper
awesome-active-learning
Everything you need about Active Learning (AL).
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
ML2022-Spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
SurviveSJTUManual
更新2008年版本的《上海交通大学生存手册》gitbook发布于https://survivesjtu.gitbook.io/survivesjtumanual/
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2022
USTC-Course
:heart:**科学技术大学课程资源
lihang-code
《统计学习方法》的代码实现
lihang-code
《统计学习方法》的代码实现
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
PyQt-Chinese-tutorial
PyQt6中文教程