Lists (8)
Stars
Open source platform for the machine learning lifecycle
🐙 关于提示词工程（prompt）的指南、论文、讲座、笔记本和资源大全（自动持续更新）
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, m…
A suite of computational materials science tools.
An open-source, low-code machine learning library in Python
A user friendly tools using Monte Carlo simulations for estimation of Curie temperature
End-to-end code for predicting Curie temp. and other magnetic properties of 2D materials.
📝A simple and elegant markdown editor, available for Linux, macOS and Windows.
An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]
This is a code and data repository to conduct Bayesian Optimization with knowledge constraints for manufacturing process of perovskite solar cells
MLMD: a programming-free AI platform to predict and design materials
Curated list of known efforts in materials informatics, i.e. in modern materials science
A toolkit for visualizations in materials informatics.
Matbench: Benchmarks for materials science property prediction
🙄 Difficult algorithm, Simple code.
JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ
Visualizations for machine learning datasets
PyTorch implementation of Wasserstein Auto-Encoders
A brief tutorial on the Wasserstein auto-encoder