🤗 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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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.
🤗 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.
modular quant framework.
Data manipulation and transformation for audio signal processing, powered by PyTorch
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Python package for stacking (machine learning technique)
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
A tool for quantitative risk analysis of Android applications based on machine learning techniques
A tool for automatic phoneme transcription
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Converts spoken words into text form.
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order