Showing 41-60 of 154 projects
Code for a text-to-text transformer model that can be used for various NLP tasks.
Scripts and GUI for training LoRA and Dreambooth models for Stable Diffusion, a popular AI image generation tool.
This project fine-tunes the LLaMA language model to follow instructions within 1 hour and 1.2M parameters.
torchtune is a PyTorch-native post-training library for fine-tuning and tuning machine learning models.
A large-scale 7B pretraining language model developed by BaiChuan-Inc. for AI and natural language processing.
SUPIR is a Python library for developing practical algorithms for photo-realistic image restoration using AI.
H2O LLM Studio is a no-code GUI framework for fine-tuning large language models (LLMs) like GPT-3, LLAMA, and ChatGPT.
This repository allows developers to train their own medical language models using the ChatGPT training pipeline.
An open-source framework for prompt-learning, a powerful technique for fine-tuning language models.
A distributed training framework for language models using Reinforcement Learning via Human Feedback (RLHF)
Tune-A-Video is a one-shot text-to-video generation tool that fine-tunes image diffusion models.
Instruction Tuning with GPT-4, a library for fine-tuning large language models like GPT-4 for custom tasks.
A powerful multi-resolution diffusion transformer for fine-grained Chinese text understanding and generation.
Collection of 100+ Jupyter Notebook tutorials for fine-tuning AI models on various platforms.
A Jupyter Notebook project that helps developers label their own data and train custom AI models.
Efficient fine-tuning of the ChatGLM-6B language model using PEFT, enabling vibe coders to customize LLMs for their needs.
An AI-powered Chinese poetry generator built with TensorFlow, focused on helping 'vibe coders' create poetic content.
Code and models for a multimodal large language model that can perform any-to-any tasks
Efficient vision foundation models for high-resolution generation and perception.
A PyTorch implementation of the Wasserstein GAN (WGAN) algorithm for generative adversarial networks.
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