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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Machine Learning library for the web, Node.js and developers.
github.com
A model-agnostic visual debugging tool for machine learning.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
MCGrad is a tool for multicalibration that aims to keep machine learning model predictions calibrated globally and across segments defined by features. It requires Python 3.10+ and is installed with pip or conda; the project's own description says it has been deployed at Meta on hundreds of production models.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
A platform for deploying and serving machine learning models.
github.com
A distributed machine learning framework Apache Spark.
github.com
An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
All-in-one web-based IDE specialized for machine learning and data science.
github.com
ML.NET is an open source, cross-platform machine learning framework for .NET. It lets developers build, train, deploy and consume custom models in .NET applications, with data loading from files and databases, data transformations and many ML algorithms. Models can be trained for scenarios such as classification, forecasting and anomaly detection, and TensorFlow and ONNX models can be consumed within the framework.
github.com
ML/AI Interview Prep is a GitHub-hosted resource collection for machine learning and artificial intelligence technical interview preparation. It includes over 500 interview questions and answers with accompanying code, cheat sheets for NumPy, Pandas, PyTorch, and scikit-learn, and system design content targeted at candidates for roles at companies including Google, Meta, and OpenAI.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
MLBase (MLBase.jl) is a Julia package hosted in the JuliaStats/MLBase.jl GitHub repository, providing a collection of functions to support the development of machine learning algorithms. It includes accompanying resources and documentation for package users.
github.com
MLBox is an open-source automated machine learning library implemented in Python, hosted in the AxeldeRomblay/MLBox GitHub repository. It provides contribution guidelines, project topic information, and resources documenting the library's functionality.
github.com
A Julia machine learning framework.
github.com
mljar-supervised is an Automated Machine Learning Python package for tabular data. It automates data preprocessing, model construction and hyperparameter tuning, and produces a Markdown report for each model. It offers Explain, Perform and Compete modes, along with model explanations and generated web apps for predictions.
github.com
mlxtend is a library that provides extension and helper modules for Python's data analysis and machine learning libraries. The project includes installation guides, example code, license information, and contact details. It is hosted as an open source repository on GitHub.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
ModelFox is a platform for managing and deploying machine learning models.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.