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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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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.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
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.
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Code for Data Science at Olin College, Spring 2014.
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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.
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AnkiDroid is the official Android port of the open-source Anki spaced repetition flashcard system. It supports spaced repetition learning using the AI-optimized FSRS algorithm, and allows users to create flashcards with text, images, sounds and MathJax content. It offers features including night mode, AnkiWeb syncing, text-to-speech integration, access to over 10,000 premade decks, and the ability to add cards from other applications.
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Annoy is a C++ library with Python bindings for approximate nearest neighbor search. It creates large read-only file-based indexes that are mmapped into memory so many processes can share the same data. Supported distances include Euclidean, Manhattan, cosine, Hamming and dot product.
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Anthropic's educational courses repository contains five courses covering the Claude SDK, prompt engineering, real world prompting, prompt evaluations and tool use. Suggested order begins with Anthropic API fundamentals. The repository was archived by its owner and is read-only. Courses often favor the lowest-cost model, Claude 3 Haiku, to keep API costs down.
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Apache MXNet is a deep learning framework mixing symbolic and imperative programming. It includes a dynamic dependency scheduler that parallelizes symbolic and imperative operations, with a graph optimization layer for symbolic execution. The repository was archived on Nov 17, 2023, and is read-only.
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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.
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Assembly Tutorial is a GitHub repository or organization with source code, releases, documentation, or project resources.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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AutoML framework & toolkit for machine learning on graphs.
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Automated machine learning for image, text, tabular, time-series, and multi-modal data.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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automl-gs is a Python 3 AutoML module that takes an input CSV and a target field and generates a trained machine learning or deep learning model plus native Python code pipelines. It provides a zero code/model definition interface and performs random hyperparameter searches, reporting metrics for each trial in a CSV.
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Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
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Awesome AutoDL is a curated list of automated deep learning resources and an in-depth analysis, subtitled that neural architecture search is not the end. It collects papers, libraries and benchmarks covering neural architecture search and hyper-parameter optimization.
github.com
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
github.com
Awesome Courses is a GitHub repository or organization with source code, releases, documentation, or project resources.
github.com
Curated list of federated learning publications, re-organized from Arxiv (mostly).
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.