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Published directory entries matching your search.
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.
cl-online-learning is a Common Lisp library collecting machine learning algorithms for online linear classification. It implements binary classifiers including Perceptron, AROW, SCW-I, logistic regression with SGD or ADAM, and FTRL-Proximal, plus multiclass approaches such as one-vs-rest, one-vs-one, multiclass AROW and softmax with FTRL-Proximal. Command line tools are provided as a roswell script, and the package is available from Quicklisp.
FATE (Federated AI Technology Enabler) is an industrial grade federated learning open source framework that enables enterprises and institutions to collaborate on data while protecting data security and privacy. It implements secure computation protocols based on homomorphic encryption and multi-party computation, and provides federated learning algorithms including logistic regression, tree-based algorithms, deep learning and transfer learning.
A GitHub repository collecting AI learning resources, including over 100 cheat-sheets, free online books, courses, videos and lectures, papers, tutorials, researchers, websites, datasets, conferences, frameworks and tools. Topics include machine learning, deep learning, big data, data science and Python.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
AIF360, or AI Fairness 360, is a comprehensive toolkit that provides fairness metrics for datasets and machine learning models. It includes explanations for these metrics and algorithms to mitigate bias in data and models. The project is developed by the Trusted-AI community on GitHub.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Alibi is an open-source project that provides algorithms for explaining machine learning models. Developed by SeldonIO and hosted on GitHub, it includes installation and usage documentation for pip and conda.
Ambrosia is a cross-platform command line tool written in Go for improving text datasets used in machine learning. It offers fast deduplication, filtering, length checking and whitespace trimming, plus an LLM-based filtering option called psort. It ships as a single binary with no dependencies and is pre-1.0 software.
Applied ML is a curated collection of papers, articles and blogs about data science and machine learning in production, organized under topics such as data quality, recommendation, search and ranking, and MLOps. It is licensed under MIT and covers how organizations frame problems and which techniques worked.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
AutoML framework & toolkit for machine learning on graphs.
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
CPU and GPU-accelerated Machine Learning Library.
