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Published directory entries matching your search.
H2O is an open-source, distributed, fast, and scalable machine learning platform hosted on GitHub by the h2oai organization. It supports a wide range of machine learning methods including deep learning, gradient boosting, random forest, generalized linear modeling, clustering, dimensionality reduction, rule fitting, support vector machines, stacked ensembles, and automated machine learning.
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.
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.
Approaching (Almost) Any Machine Learning Problem is a GitHub repository or organization with source code, releases, documentation, or project.
Machine Learning Visualized is a GitHub repository or organization with source code, releases, documentation, or project resources.
Awesome AutoML Papers is a GitHub-hosted curated list focused on automated machine learning (AutoML). It aggregates academic papers, articles, tutorials, slide decks, and related projects in the AutoML field, serving as a centralized reference for users exploring automated machine learning research and developments.
A curated GitHub list of federated learning system papers, articles, tutorials, slides and projects. It groups entries such as systems from big tech companies, vertical FL, open-source frameworks, edge and mobile systems, optimization, security and privacy, applications and surveys. Papers reviewed and presented at academic conferences are marked with a graduation cap symbol.
Reinforcement Learning Coach by Intel® AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms.
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
Gym4ReaL is an open-source GitHub repository maintained by Daveonwave. It is a Gymnasium-based benchmarking suite for testing reinforcement learning algorithms on real-world scenarios. The repository includes documentation on supported characteristics, reinforcement learning paradigms, folder structure, contribution guidelines, and licensing terms.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Pipcook is a JavaScript application framework for machine learning and its engineering, aimed at Web developers. It provides subprojects including a machine learning pipeline framework, management tools and a JavaScript runtime for machine learning. A Pipcook Pipeline composes scripts and outputs an NPM package containing the trained model and JavaScript functions. The documentation describes a workflow of install, train, test and deploy using the Pipcook command-line tool.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
Supports teaching, studying or skills practice with AI-guided learning tools.
AI Expert Roadmap presents a set of charts showing paths and technologies for becoming a data scientist, machine learning or AI expert. An interactive version with links is available online, and the project is published under the MIT license.
Scripts to generate a dataset with static frames from the Arcade Learning Environment. Instructions cover getting Torch, placing supported Atari ROMs (freeway, pong, riverraid, seaquest, space_invaders), building the environment and Lua wrapper, and producing frames.
Auto ViML automatically builds multiple machine learning models with a single line of code. It was created by Ram Seshadri, and collaborators are welcome with permission. The tool is available on GitHub.
Open-source project that provides AI-assisted learning, courses, tutorials, or study support.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Backprop is a Python library, installable via PyPi, that enables use, finetuning and deployment of machine learning models. It provides task interfaces for conversational question answering, text classification in over 100 languages, image classification, summarisation, emotion detection and text generation, and models can be finetuned with a single line of code.
