Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

符合nature论文学术表达和科研绘图的Skill

This is a curated list for Information Bottleneck Principle, in memory of Professor Naftali Tishby.

LLM based Literature Search Agent. 一个面向研究者的文献发现工具，支持用自然语言发起检索、自动迭代查询、扩展候选论文、排序结果并导出可复核的文献列表。

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

ME 697 - Advanced Scientific Machine Learning

A book about machine learning, statistics, and data mining for heliophysics

一款智能安全工具，离开时自动监控并拍照锁屏防止他人操作电脑

A lecture note for understanding deep learning

Codex-native Academic Research Skills suite for human-in-the-loop academic research workflows

A curated list of practical Codex skills for automating workflows across the Codex CLI and API.

Python codes for ionosphere/thermosphere model analysis

The Global Ionosphere/Thermosphere Model

sami3-4.00

Ionospheric fluid electrodynamic model

Python interface for Gemini3D

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

Lime: Explaining the predictions of any machine learning classifier

The first open-source repository for Scientific Machine Learning (PINNs, PIELM, RFM, Neural Operators) via Vibe Coding. JAX-GPU implementations with Chinese tutorials. 首个采用 Vibe Coding 进行科学机器学习研究的开…

Information Shapes Koopman Presentation

A Library for Advanced Deep Time Series Models for General Time Series Analysis.

AI Agent 源码深度研究报告

[TMLR] Code repo for the paper entitled Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic"