🤗 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
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Making large AI models cheaper, faster and more accessible
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
Faster Whisper transcription with CTranslate2
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
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.
A PyTorch-based Speech Toolkit
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).