An open source robotics benchmark for meta- and multi-task reinforcement learning.
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A distributed machine learning framework Apache Spark.
List of several machine learning libraries.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
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.
A Julia machine learning framework.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
A scalable C++ machine learning library.
A library consisting of useful tools for data science and machine learning tasks.
MMDeploy supports machine learning models, deployment, inspection, datasets, or AI development workflows.
A modular active learning framework for Python, built on top of scikit-learn.
Discover open source deep learning code and pretrained models.
ModelFox is a platform for managing and deploying machine learning models.
Models.dev supports machine learning models, deployment, inspection, datasets, or AI development workflows.
List of molecular design using Generative AI and Deep Learning.
A flexible and efficient library for deep learning.
Helps find, analyze or synthesize information for research and knowledge discovery.
Machine learning for NeuroImaging in Python.
Matlab is a great language for prototyping ideas. It comes with many libraries specially for machine learning and statistics. But when….