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An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
Intuitive convenience tooling for lightning-fast, efficient development and ensuring quality in LLM-based applications.
Mistral provides conversational AI for questions, tasks, and general assistance.
Deep learning foundations and applications.
C, C++, and Python tools for named entity recognition and relation extraction.
Mixtral-8x7B Large Language Model (LLM) is a pretrained generative Sparse Mixture of Experts.
All-in-one web-based IDE specialized for machine learning and data science.
Machine learning and numerical analysis tools for Node.js and the Browser!
500+ ML/AI interview Q&A with runnable code — covers ML fundamentals, deep learning, NLP, PyTorch, scikit-learn pipelines, and system design.
Friendly machine learning for the web!
A set of functions to support the development of machine learning algorithms.
Version and deploy your ML models following GitOps principles.
A Julia machine learning framework.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
No need to keep checking your training, just one import line and you'll know the second it's done.
A scalable C++ machine learning library.
MLX is an array framework for machine learning on Apple silicon, developed by Apple machine learning research.
A library consisting of useful tools for data science and machine learning tasks.
A modular active learning framework for Python, built on top of scikit-learn.
An open standard for connecting AI models to external tools and data sources. MCP Registry opensource.
List of models for upscaling images.
Visual testing tool for MCP servers.
Discover amazing ML apps made by the community.