Collect some related resources of NVIDIA Isaac Sim

[ICLR 2024] Source codes for the paper "Building Cooperative Embodied Agents Modularly with Large Language Models"

Code repository for SMART-LLM: Smart Multi-Agent Robot Task Planning using Large Language Models

Asterinas is a secure, fast, and general-purpose OS kernel, written in Rust and providing Linux-compatible ABI.

具身智能入门指南 Embodied-AI-Guide

Large Language Model based Multi-Agents: A Survey of Progress and Challenges

This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Descent"

A high-quality tool for convert PDF to Markdown and JSON.一站式开源高质量数据提取工具，将PDF转换成Markdown和JSON格式。

This repository includes software for the paper "Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy".

Open-Source Quantum Chemistry – an electronic structure package in C++ driven by Python

G-SchNet - a generative model for 3d molecular structures

SchNetPack - Deep Neural Networks for Atomistic Systems

A simple script for extracting plain text from arxiv dataset: https://www.kaggle.com/Cornell-University/arxiv

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians a…

A generative world for general-purpose robotics & embodied AI learning.

[NAACL 2024 Outstanding Paper] Source code for the NAACL 2024 paper entitled "R-Tuning: Instructing Large Language Models to Say 'I Don't Know'"

JAX accelerated Quantum Monte Carlo

A set of scripts to grab public datasets from resources related to arXiv

海量图大作业参考代码

Implementation of "Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation"

Code from Foersch et al.

SmartCADD is an open-source virtual screening platform that combines deep learning, computer-aided drug design (CADD), and quantum mechanics methodologies within a user-friendly Python framework.

Python module for quantum chemistry

This is a curated list of research papers, resources and tools related to using Graph Neural Networks (GNNs) for drug discovery.

[ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.