Machine Learning

Browse a gallery of interesting Jupyter notebooks on this project wiki, with examples from notebook users.

Prediction with gradient boosting regression tree models is implemented in leaves, a Go software library.

Learn AI From Scratch presents a draft curriculum covering foundational topics for building an understanding of artificial intelligence.

Roadmap.sh publishes community-created developer roadmaps, guides, articles, and courses for learning technical skills.

This repository curates papers and tools about large language model security and privacy.

OpenPose detects body, face, hand, and foot keypoints for multiple people in real time.

crystal-fann provides Crystal language bindings for the FANN artificial neural network library.

Gerev helps organizations search conversations, documents, and internal pages using AI, with hosted and self-hosted options.

ONNX-Scala provides an API and backend for deep and classical machine learning in Scala.

This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.

TextFX is a deprecated AI experiment from Google Creative Lab for exploring language and text.

Semantic Cache Router presents a distributed semantic cache and stateful routing system.

Python package which helps to debug machine learning classifiers and explain their predictions.

This SDK provides AI evaluations, prompt management, and observability for Python and TypeScript workflows.

QWED verifies LLM outputs, tool calls, code, schemas, and agent state before production execution.

Udacity’s Introduction to Machine Learning course covers foundational machine learning and data analysis.

HarvestAi predicts crop yields and harvest timing for indoor farms growing produce such as tomatoes, peppers, and strawberries.

The anneal project is a Go machine learning compiler with graph rewriting, autodiff, and a WebGPU backend.

For Go developers, GoLearn provides a collection of tools for machine learning.

Data Science 101 is Ryan Swanstrom’s blog about learning to become a data scientist.

Featureform turns existing data infrastructure into a virtual feature store.

AI for Beginners is a Microsoft course organized as 24 lessons across 12 weeks.

Graphviz creates diagrams from graph descriptions and provides open-source software for visualizing structural information.

The UC Irvine Machine Learning Repository helps visitors discover machine learning datasets.