🦜🔗 Build context-aware reasoning applications

Instruct-tune LLaMA on consumer hardware

A guidance language for controlling large language models.

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

A collection of various deep learning architectures, models, and tips

StableLM: Stability AI Language Models

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

This repository contains implementations and illustrative code to accompany DeepMind publications

FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

QLoRA: Efficient Finetuning of Quantized LLMs

AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术

FinRL: Financial Reinforcement Learning. 🔥

Official inference library for Mistral models

LAVIS - A One-stop Library for Language-Vision Intelligence

An open-source, low-code machine learning library in Python

PyTorch code and models for the DINOv2 self-supervised learning method.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

Playing Pokemon Red with Reinforcement Learning

A scikit-learn compatible neural network library that wraps PyTorch

Collection of notebooks about quantitative finance, with interactive python code.

Create delightful software with Jupyter Notebooks

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Solve puzzles. Improve your pytorch.

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…

Massively parallel rigidbody physics simulation on accelerator hardware.