Transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Plugins Filament, paquetes Laravel y starter kits open source mantenidos activamente. Todo MIT, con releases para v3, v4 y v5 cuando aplique.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A high-throughput and memory-efficient inference and serving engine for LLMs
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
GUI for a Vocal Remover that uses Deep Neural Networks.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Todos los paquetes tienen CI, tests Pest e issues abiertas marcadas con good first issue.
Nueva versión disponible.