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AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Command-line program to download videos from YouTube.com and other video sites
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
A generative speech model for daily dialogue.
A high-throughput and memory-efficient inference and serving engine for LLMs
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.
Hydra is a framework for elegantly configuring complex applications
ModelScope: bring the notion of Model-as-a-Service to life.
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Modeling, training, eval, and inference code for OLMo
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Production First and Production Ready End-to-End Speech Recognition Toolkit
On-device wake word detection powered by deep learning
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
Multilingual Voice Understanding Model
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.