Showing 61-80 of 154 projects
An implementation of Dreambooth for Stable Diffusion, with a focus on training faces, objects, and styles.
A tactical manual to systematically maximize the performance of your deep learning models.
A unified inference and post-training framework for accelerated video generation powered by AI.
Open-source pre-training model framework in PyTorch with a pre-trained model zoo for natural language processing tasks.
PyTorch code and models for VJEPA2 self-supervised learning from video.
A library that redefines the regression task of DETRs as a fine-grained distribution refinement problem, with potential applications in object detection.
OpenDeepWiki is an open-source knowledge management and collaboration platform for developers working with AI tools.
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.
A unified platform for researchers to easily use and integrate various large language models and parameter-efficient techniques.
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.
GLIP is a pre-training approach for learning grounded language-image representations.
EasyLM is a one-stop solution for pre-training, fine-tuning, evaluating, and serving large language models (LLMs) in JAX/Flax.
A Python library for fine-tuning and adapting Stable Diffusion models for AI-powered generative art and image creation.
Elegant PyTorch implementation of the Model-Agnostic Meta-Learning (MAML) paper for AI/ML developers.
Efficient Segment Anything, a leveraged masked image pretraining model for efficient segmentation.
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