github.com
Examples is a GitHub repository or organization with source code, releases, documentation, or project resources.
Directory
Search results
Published directory entries matching your search.
github.com
Dockerholics is a GitHub repository with apps and examples from the Dockerholics group. It includes Docker Compose examples and a list of free applications that can be hosted locally in Docker containers, described as images the group experts have tried out and verified. The repository is MIT licensed.
Open-source project that creates or edits images with generative AI and text-based controls.
github.com
BayesO is a Python framework for Bayesian optimization, described as a simple but essential Bayesian optimization package. It is installed via pip and is tested on Python 3.8 through 3.12. The repository includes documentation, examples and tests, and is released under the MIT License.
github.com
Candle is a minimalist machine learning framework for Rust with a focus on performance, including GPU support, and ease of use. It provides examples and online browser demos for models such as whisper, LLaMA2, T5, yolo and Segment Anything.
github.com
Official plugin resources and examples for extending Claude-based workflows.
github.com
Data Driven Code is a GitHub repository containing code from a PyCon Canada 2016 session. The repository provides resources and examples related to data-driven programming techniques presented at the conference.
github.com
Gadfly is a Julia package for creating statistical graphics. Developed by GiovineItalia, it provides a grammar of graphics for generating visualizations in Julia. The repository includes documentation, examples, and installation instructions, and is open source.
github.com
Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including examples of their use in crafting marketing materials like blog posts and social media content, nl2sql analysis, and campaign personalization.
github.com
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
github.com
The oneAPI Data Analytics Library (oneDAL) is a library for data analytics. It is hosted on GitHub under the uxlfoundation/oneDAL repository. The repository provides usage examples, installation instructions, and documentation.
github.com
ipychart is a Python library that brings the power of Chart.js to Python. It is hosted on GitHub at https://github.com/nicohlr/ipychart. The repository includes installation instructions, documentation, usage examples, and development information.
github.com
JSMLT is an open source JavaScript library for education in machine learning. It implements supervised learning algorithms, including SVM, random forest, decision tree, perceptron, neural networks, k-nearest neighbors and logistic regression, and provides visualization examples for exploring how the algorithms work.
github.com
kixistats is a library of statistical distribution sampling and transducing functions. It provides tools for statistical analysis. The project is open-source and available on GitHub, with documentation, installation instructions, and usage examples.
github.com
Machine Learning in MatLab/Octave is a collection of MatLab/Octave implementations of popular machine learning algorithms, including code examples and explanations of the associated mathematics. It covers supervised learning tasks such as regression and classification as well as unsupervised learning.
github.com
Repository containing the source code of the Python package loralib and examples of integrating it with PyTorch models, such as those in Hugging Face. LoRA learns pairs of rank-decomposition matrices while freezing the original weights, reducing the number of trainable parameters. PyTorch is the only supported framework for now.
github.com
Mirascope is a project labeled the LLM Anti-Framework that provides one unified interface for using frontier LLMs. Its examples show calling LLMs with a decorator, getting structured output via Pydantic models, and building an agent with tools. It is organized as a monorepo with Python and TypeScript implementations plus documentation.
github.com
ml5.js is a JavaScript library providing access to machine learning algorithms and models in the browser, building on TensorFlow.js. It aims to make machine learning approachable for artists, creative coders and students, and is supported by code examples, tutorials and sample data sets. The project is described as currently in development.
github.com
MLPNeuralNet is a multilayer perceptron neural network library for iOS and Mac OS X. It predicts new examples through trained neural networks and is built on Apple's Accelerate Framework using vectored operations and hardware acceleration where available. It is designed to load and run models in forward propagation mode only, and supports classification, multi-class classification, and regression output.
github.com
modAL is a modular active learning framework designed for use with the Python programming language. The project includes introductory documentation, overviews of active learning concepts, usage examples, and quickstart guides. It is hosted as an open source repository on GitHub.
github.com
NeuPy is a Python library built on Tensorflow for prototyping and building neural networks. The repository notes that the library is no longer actively maintained. It includes examples and notebooks covering algorithms such as Boltzmann machines and self-organizing maps.
github.com
OpenAI Cookbook is a GitHub repository that provides examples and guides for using the OpenAI API. The collection helps developers integrate OpenAI models into their applications. It includes code samples, best practices, and documentation. The project is open source and accepts community contributions.
github.com
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks. Materials are organized into sections covering preprocessing, model evaluation, parameter estimation, algorithms, clustering and data visualization.
github.com
PredictionBuilder is an open-source machine learning library hosted on GitHub, designed to build predictions using linear regression. The repository includes documentation covering library requirements, installation steps, usage examples, and licensing terms.