transformers

funnlpfighting41love/funNLP

A comprehensive collection of Chinese NLP resources, datasets, tools, and pre-trained models for developers and researchers.

Stable DiffusionCompVis/stable-diffusion

A latent text-to-image diffusion model that generates detailed images from text prompts, running on GPUs with at least 10GB VRAM.

LocalAImudler/LocalAI

An open-source AI engine that runs LLMs, vision, voice, and image/video models on any hardware with drop-in OpenAI API compatibility.

FastChatlm-sys/FastChat

An open platform for training, serving, and evaluating large language model based chatbots.

Barksuno-ai/bark

A transformer-based text-to-audio model that generates realistic multilingual speech, music, and sound effects.

shapslundberg/shap

A unified Python library for explaining any machine learning model's predictions using Shapley values from game theory.

faster-whisperguillaumekln/faster-whisper

A fast, memory-efficient reimplementation of OpenAI's Whisper speech-to-text model using CTranslate2.

Sentence TransformersUKPLab/sentence-transformers

A Python framework for computing and training state-of-the-art text embeddings, rerankers, and sparse encoders.

TRLhuggingface/trl

A comprehensive library for post-training foundation models using reinforcement learning and fine-tuning techniques.

TorToiSeneonbjb/tortoise-tts

A multi-voice text-to-speech system that produces highly realistic prosody and intonation using autoregressive and diffusion decoders.

Ludwigludwig-ai/ludwig

A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.

Ludwiguber/ludwig

A low-code declarative framework for building custom LLMs, neural networks, and other AI models with YAML configurations.

DeepPavlovdeepmipt/DeepPavlov

An open-source NLP framework for building and deploying deep learning dialog systems and chatbots with PyTorch and transformers.

whisper-timestampedlinto-ai/whisper-timestamped

A Python library that extends OpenAI's Whisper to provide accurate word-level timestamps and confidence scores for multilingual speech recognition.