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, packages Laravel et starter kits open source activement maintenus. Tous en MIT, avec des releases pour v3, v4 et v5 selon les cas.
🤗 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
Tous les packages ont une CI, des tests Pest et des issues ouvertes taguées good first issue.
Nouvelle version disponible.