我的超迷你机械臂机器人项目。

The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.

openclaw接入飞书插件

An agentic Machine Learning Engineer

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

Skala exchange-correlation functional

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

The ultimate all-in-one guide to mastering Claude Code. From setup, prompt engineering, commands, hooks, workflows, automation, and integrations, to MCP servers, tools, and the BMAD method—packed w…

Public repository for Agent Skills

💫 Toolkit to help you get started with Spec-Driven Development

Unofficial Python API for Google NotebookLM

Turn paper/text/topic into editable research figures, technical route diagrams, and presentation slides.

Bash is all you need - A nano Claude Code–like agent, built from 0 to 1

Artificial Intelligence Research for Science (AIRS)

A set of ready to use Agent Skills for research, science, engineering, analysis, finance and writing.

code for the SE3 Transformers paper: https://arxiv.org/abs/2006.10503

A curated collection of fun and creative examples generated with Nano Banana & Nano Banana Pro🍌, Gemini-2.5-flash-image based model. We also release Nano-consistent-150K openly to support the commu…

The most customisable and low-latency cross platform/shell prompt renderer

A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visual…

A plugin to use Nvidia GPU in PySCF package

Exchange correlation functionals translated from libxc to jax

GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.

"Paper2Slides: From Paper to Presentation in One Click"

This repository contains implementations and illustrative code to accompany DeepMind publications

PySCF with auto-differentiation

开发者边车，github打不开，github加速，git clone加速，git release下载加速，stackoverflow加速

MACE - Fast and accurate machine learning interatomic potentials with higher order equivariant message passing.

Deep neural networks for density functional theory Hamiltonian.

A curated list of vibe coding references, collaborating with AI to write code.