💫 Industrial-strength Natural Language Processing (NLP) in Python
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Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Best Practices on Recommendation Systems
Open standard for machine learning interoperability
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
🐍 Geometric Computer Vision Library for Spatial AI
TensorFlow-based neural network library
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Interpretability and explainability of data and machine learning models
moDel Agnostic Language for Exploration and eXplanation
NFStream: a Flexible Network Data Analysis Framework.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
Sharing Updatable Models (SUM) on Blockchain
🎯 A comprehensive gradient-free optimization framework written in Python
Image quality is an open source software library for Image Quality Assessment (IQA).
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
A tool for automatic phoneme transcription