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Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
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github.com
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
github.com
NNI is an open source AutoML toolkit developed by Microsoft. It automates tasks across the machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning for machine learning workflows.
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numpy-ML is a GitHub-hosted library that implements various machine learning algorithms using only NumPy. The project emphasizes rapid experimentation and can be used as a package. It covers a range of ML methods and includes documentation for users. The repository is open source and welcomes contributions.
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ONNX-Scala is an ONNX (Open Neural Network eXchange) API and backend built for typeful, functional deep learning and classical machine learning use cases in Scala 3. It is hosted as a public repository under the EmergentOrder GitHub organization.
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OpenMetricLearning is a repository that provides metric learning and retrieval pipelines, pre-trained models, and a model zoo for related machine learning tasks. It includes documentation, installation guides, and example implementations for users.
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Pavlov.js is a reinforcement learning library that uses Markov Decision Processes. It is written in C++ and compiled to JavaScript. The package is installed through npm. Users define transitions and rewards, then call learn to derive a policy and query actions for states.
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Perfect TensorFlow is an experimental wrapper of the TensorFlow C API that enables machine learning in server-side Swift. It builds with Swift Package Manager and can be used as part of the Perfect project or as an independent module. The framework conforms to TensorFlow v1.8.0 C API functionality.
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Polyaxon is a platform for building, training, and monitoring large-scale deep learning applications. It deploys into any data center or cloud provider and supports major deep learning frameworks such as Tensorflow, MXNet, Caffe, and Torch. It manages workloads with container and node management and offers hyperparameter tuning through experiment groups defining a search algorithm and search space.
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Supports teaching, studying or skills practice with AI-guided learning tools.
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Open-source, low-code machine learning library in Python that automates machine learning workflows.
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PyTorch Geometric Temporal is a temporal extension library for PyTorch Geometric. It contains dynamic and temporal geometric deep learning, embedding and spatio-temporal regression methods from published research papers. It includes a dataset loader, train-test splitter and temporal snapshot iterator for dynamic and temporal graphs, with GPU support and benchmark datasets.
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A tutorial project for applying machine learning in Python with scikit-learn, a Python module built on numpy and scipy. It aims to teach practical application of scikit-learn algorithms; the stated audience is experienced Python developers familiar with numpy and scipy. Prebuilt PDF and HTML versions, tutorial source and exercise solutions are available, and the material is under a Creative Commons Attribution 3.0 license.
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Swift for TensorFlow is an archived GitHub repository describing an experiment in a next-generation machine learning platform that combined machine learning, compilers and differentiable programming. It was archived in February 2021, and the repository is read-only; the site states it will not receive further updates.
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TensorLayer is an open-source deep learning and reinforcement learning library designed for scientists and engineers. Hosted on GitHub, the project offers design feature documentation, multilingual resources, and extensive example materials to support use.
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The Bot is a public JavaScript repository that provides an example of a neural network learning to predict the angle between two points. It is built using the synaptic.js library and demonstrates this machine learning functionality in code.
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TPOT (Tree-based Pipeline Optimization Tool) is a Python automated machine learning tool that optimizes machine learning pipelines using genetic programming. The project underwent a major refactoring, merging what was once called TPOT2 into the main package, with new features including genetic feature selection, multi-objective optimization and an expanded method of defining search spaces.
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19 Questions is an open source machine learning and Bayesian inference engine designed to assign attributes to objects. Its source code is hosted in a public GitHub repository under the fulldecent organization, and contributions to the project are accepted from the public.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
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Adaptive Reliability Layer is a Python project that sits between an inference pipeline and a monitoring layer. It detects distribution shift, decides whether adaptation is warranted, and learns from delayed revealed labels. It does not replace the model.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Aeromancy is an open-source GitHub repository hosted by quant-aq. It is a framework designed to support reproducible artificial intelligence and machine learning workflows. The project includes documentation, resources for common development commands, and was featured at the SciPy 2024 conference.
github.com
Agents is an open-source framework for data-centric, self-evolving autonomous language agents. It introduces agent symbolic learning, which treats an agent pipeline like a computational graph and uses prompt-based loss, back-propagation and weight updates to train agents. The project also supports optimizing multi-agent systems and was updated to Agents 2.0 with agent learning and evaluation support.