Showing 61-80 of 115 projects
OneTrainer is a comprehensive solution for training Diffusion models, including fine-tuning, LORA, and more.
This repository provides examples and utilities for fine-tuning large language models (LLMs) using the PEFT library.
Turn expensive prompts into cheap fine-tuned models for AI developers and ML engineers.
A Python library for fine-tuning the ChatGLM language model for downstream tasks using techniques like Freeze, LoRA, and P-tuning.
A general fine-tuning kit for image/video/audio diffusion models, geared toward AI-powered developers.
An easy-to-use framework for knowledge editing and fine-tuning of large language models (LLMs).
Code and documents for LongLoRA and LongAlpaca, a fine-tuning framework for large language models.
Learn to build a Second Brain AI assistant with LLMs, agents, and fine-tuning techniques.
EasyLM is a one-stop solution for pre-training, fine-tuning, evaluating, and serving large language models (LLMs) in JAX/Flax.
An open-source deep learning framework for building, training, and fine-tuning models using physics-ML methods.
A Python library for fine-tuning and adapting Stable Diffusion models for AI-powered generative art and image creation.
A modular reinforcement learning library to fine-tune language models to human preferences
A Python library for fine-tuning large language models (LLMs) without fine-tuning the entire model.
A collection of Jupyter Notebooks on various AI and machine learning concepts, including fine-tuning, inference, and LLMs.
A fast and efficient ONNX model inference and training library for Rust developers working with AI.
Custom Diffusion: A Python implementation of text-to-image diffusion models for computer vision applications.
A repository providing models, datasets, and fine-tuning techniques for DB-GPT to enhance Text-to-SQL performance.
An adapted version of the Kohya Trainer for easier cloning, focused on AI coding tools and fine-tuning language models.
A Python extension for the Stable Diffusion AI model, focused on the DreamBooth fine-tuning technique.
A JAX-based research toolkit for building, editing, and visualizing neural networks for vibe coders.
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