🤗 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.
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Clone a voice in 5 seconds to generate arbitrary speech in real-time
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
VoxCPM2: Tokenizer-Free TTS for Multilingual Speech Generation, Creative Voice Design, and True-to-Life Cloning
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
A PyTorch-based Speech Toolkit
Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.
Data manipulation and transformation for audio signal processing, powered by PyTorch
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas