Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
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💫 Industrial-strength Natural Language Processing (NLP) in Python
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
🐍 Geometric Computer Vision Library for Spatial AI
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Self-contained Machine Learning and Natural Language Processing library in Go
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
A dataset of millions of news articles scraped from a curated list of data sources.
A powerful and easy-to-use PHP SDK for the Mistral AI API, allowing seamless integration of advanced AI-powered features into your PHP projects.