Ecosystem & Stack: accelerate

A state-of-the-art library for Parameter-Efficient Fine-Tuning (PEFT) of large pretrained models, drastically reducing computational and storage costs.

A comprehensive code repository accompanying a hands-on course for mastering Huggingface Transformers, covering fundamental concepts to advanced fine-tuning and deployment techniques.

An open-source framework providing code, models, and insights for stable Reinforcement Learning from Human Feedback (RLHF) training in Large Language Models, focusing on the PPO algorithm and reward modeling.

A PyTorch implementation of Google's Imagen, a state-of-the-art text-to-image neural network, enabling advanced generative AI capabilities.

StyleTTS 2 is a cutting-edge text-to-speech model achieving human-level speech synthesis through style diffusion and adversarial training with large speech language models.