Machine Learning

Ombre adds security, caching, memory, and audit functions in an infrastructure layer for AI requests.

The ml5.js project brings friendly machine learning tools to web projects.

The Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.

The ChefBoost Python framework supports decision trees such as ID3, C4.5, CART, CHAID, regression trees, and ensemble methods.

Gradio creates web interfaces for machine learning models in Python so developers can share interactive demos and apps.

Bodywork deploys machine learning pipelines to Kubernetes and handles containers and orchestration.

H2O-3 is an open-source distributed machine learning platform with tools including deep learning, gradient boosting, and random forests.

This repository provides code for building agents controlled by large language models.

dlib provides C++ libraries for image processing, machine learning, and related algorithms.

Sourcecodester publishes free source code projects and tutorials in programming languages including Python, PHP, and Java.

Practice job interviews out loud with AI. Mock interviews tailored to your resume and role, plus coaching while you practice.

TensorFlow offers an open-source machine learning platform with tools, libraries, and community resources.

EarthArXiv is a preprint server devoted to open scholarly communication for Earth science and related planetary science.

MLflow provides tools for AI engineering with agents, language models, and machine learning models, including debugging and monitoring.

AutoViz automatically creates visualizations for datasets of different sizes from a single line of code.

This New Yorker essay examines the poetic effects of mistakes in AI-generated art.

The Datumbox framework is written in Java for developing machine learning and statistical applications.

DJL is a Java framework for running deep learning models across different engines.

Scientific Python Lectures is a set of learning materials about Python for scientific computing.

Made With ML offers lessons on designing, developing, deploying, and improving production machine learning applications.

PyToune provides a simplified framework and utilities for working with PyTorch.

rapaio offers a toolbox for statistical analysis, data mining, and machine learning tasks.

Video2x applies machine learning for video super-resolution and frame interpolation in a framework hosted on GitHub.

Tpoint Tech publishes free online tutorials and interview questions across programming languages and technology subjects.