Popular GitHub Repositories for Fine Tuning Flux

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

LlamaIndex is the leading framework for building LLM-powered agents over your data.

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! ?

? Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

The official GitHub page for the survey paper "A Survey of Large Language Models".

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

Low-code framework for building custom LLMs, neural networks, and other AI models

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

A powerful tool for creating fine-tuning datasets for LLM

? Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 15+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.

Easily fine-tune, evaluate and deploy Qwen3, DeepSeek-R1, Llama 4 or any open source LLM / VLM!

Automated Machine Learning with scikit-learn