yueyericardo

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

langchain

🦜🔗 Build context-aware reasoning applications

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

so-vits-svc

SoftVC VITS Singing Voice Conversion

mojo

The Mojo Programming Language

chatgpt-retrieval-plugin

The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

mlc-llm

Universal LLM Deployment Engine with ML Compilation

Modern-CPP-Programming

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

Baichuan-7B

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

lit-gpt

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

gpuweb

Where the GPU for the Web work happens!

WebPlotDigitizer

Online tool to extract numerical data from plot images.

pytorch_scatter

PyTorch Extension Library of Optimized Scatter Operations

gromacs

Public/backup repository of the GROMACS molecular simulation toolkit. Please do not mine the metadata blindly; we use https://gitlab.com/gromacs/gromacs for code review and issue tracking.

molstar

A comprehensive macromolecular library

GPUMD

Graphics Processing Units Molecular Dynamics

pyiron

pyiron - an integrated development environment (IDE) for computational materials science.

torchmd-net

Training neural network potentials

flare

An open-source Python package for creating fast and accurate interatomic potentials.

chatgpt-plugins

This is meant to be a comperehensive list of ChatGPT plugins and plugin-related resources.

moltemplate

A general cross-platform tool for preparing simulations of molecules and complex molecular assemblies

FitSNAP

Software for generating SNAP machine-learning interatomic potentials

spice-dataset

A collection of QM data for training potential functions

MDsim

[TMLR 2023] Training and simulating MD with ML force fields

torchmd-protein-thermodynamics

Tutorials and data necessary to reproduce the results of publication Machine Learning Coarse-Grained Potentials of Protein Thermodynamics

openff-recharge

An automated framework for generating optimized partial charges for molecules

Atomistic-Adversarial-Attacks

Code for performing adversarial attacks on atomistic systems using NN potentials

qca-dataset-submission

Data generation and submission scripts for the QCArchive ecosystem.

Active-Learning-Framework