Machine Learning Platform

Mmf.sh

Build multimodal AI models with PyTorch

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MMF is a modular framework for building and testing multimodal AI models using PyTorch, supporting research in vision and language tasks.

Nnabla.readthedocs.io

Build and deploy deep learning models anywhere

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Explore Neural Network Libraries, a deep learning framework for research and production, with resources for Python and C++ developers.

Moa.cms.waikato.ac.nz

Stream real-time machine learning with Java

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MOA is an open source Java framework for streaming machine learning, letting you analyze and process data streams in real time. Free to use and extend.

Surpriselib.com

Build and test recommender systems in Python

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Surprise is a Python library for creating and testing recommender systems, making it easy to analyze explicit rating data using various algorithms.

Tensorboard.dev

Share ML experiment results in the cloud

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Share, view, and collaborate on machine learning experiment results online with TensorBoard.dev, a managed service for ML visualization and tracking.

Fedml.ai

Collaborate on federated AI projects securely

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Build, deploy, and manage federated learning AI models at scale with a collaborative production platform designed for secure, distributed machine learning.

Gplearn.readthedocs.io

Genetic programming in Python made easy

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Explore gplearn’s official docs for using genetic programming in Python with a scikit-learn style API, including guides, examples, and API references.

Kamishima.net

Explore machine learning and fairness research

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Personal site of Toshihiro Kamishima featuring research on machine learning, data mining, and fairness-aware recommender systems. Includes publications and tutorials.

Tribuo.org

Build and deploy ML models in Java easily

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Tribuo is a Java machine learning library for building, training, and deploying models, with support for classification, regression, and third-party ML tools.

Nixtla.io

Predict trends and spot anomalies with ease

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Nixtla offers easy-to-use tools for advanced forecasting and anomaly detection, helping teams of any size make accurate predictions using time series data.

Flower.ai

Build federated AI apps for any framework

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Flower is an open-source platform for building, running, and evaluating federated machine learning apps across any ML framework or programming language.

Kr2ml.github.io

Discover synergies between knowledge and machine learning

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Explore the intersection of knowledge representation and machine learning, focusing on interpretable AI and informed reasoning.

Streamhpc.com

Boost software speed with expert GPU programming

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StreamHPC builds high-performance software solutions using GPU programming and OpenCL, helping companies achieve faster, more efficient computing.

Basilio.dev

Visualize machine learning models interactively

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MLDemos is a tool for visualizing machine learning models and algorithms to help understand data and model behavior.

Gmdh.net

Automatically build optimal models from your data

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GMDH offers tools for deep learning, data mining, forecasting, and modeling with self-organizing neural network algorithms.

Gresearch.com

Predict financial markets with advanced AI tools

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A tech-driven finance research firm using machine learning and big data to predict market movements and support investment decisions.

Qwak.com

Build and manage AI apps from idea to scale

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JFrog ML offers a platform to build, deploy, and manage AI and machine learning applications at scale efficiently.

Openargus.org

Monitor network activity with ML-powered auditing

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Openargus is an open source tool for network activity auditing and anomaly detection using machine learning.

Mackenziemathislab.org

Discover AI and neuroscience research on adaptive intelligence

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Explore research on adaptive intelligence combining AI and neuroscience to understand brain behavior and improve machine learning methods.

Cerebras.ai

Train and deploy AI models at lightning speed

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Cerebras offers a fast, user-friendly platform for AI training and deployment, featuring advanced models and tools for innovative teams and developers.