Showing 121-140 of 154 projects
A Python library for quickly editing and fine-tuning large language models like GPT, BLOOM, and LLAMA.
Scalable, memory-optimized training of diffusion models for AI-powered applications.
All-in-one training for vision models with pretraining, fine-tuning, and distillation capabilities.
A versatile diffusion model for text, image, and variation generation in a single model.
A UI tool to make training LoRA/LoCon and other LoRA models in Stable Diffusion scripts easy for vibe coders.
A collection of pre-trained StyleGAN 2 models for AI-powered generative art and image synthesis.
ELLA: A Python library that equips diffusion models with large language models for enhanced semantic alignment.
A repository for few-shot learning machine learning projects, focused on meta-learning and PyTorch.
A collaborative deep learning review paper focused on genomics and precision medicine.
Early stopping implementation for PyTorch, helping prevent overfitting in machine learning models.
A Python library that aligns the full diffusion trajectory with human preferences for fine-grained control of AI models.
Fine-tune LLMs with online reinforcement learning for building AI-powered applications and agents.
The official implementation of Self-Play Fine-Tuning (SPIN), a deep learning technique for fine-tuning large language models.
Code for a paper on parameter-efficient fine-tuning of large language models using adapter modules.
A Python library for fine-tuning and evaluating large language models with visual prompts.
A simple semi-supervised learning method with limited data, useful for AI/ML developers.
Fine-tune and deploy the Whisper speech recognition model with accelerated inference and support for various platforms.
A PyTorch implementation of StyleGAN for domain adaptation, using pre-trained models to generate new images.
A data-centric approach to generating photorealistic human images using StyleGAN, a powerful generative AI model.
A next-generation object detection model that can detect anything with high accuracy and efficiency.
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