Machine Learning

Visualizer for neural network, deep learning and machine learning models.

The CatalyzeX Firefox extension helps find code implementations for research papers across search and research sites.

A collection of machine learning resources for readers exploring the field.

This online class covers machine-learning art and generative image tools such as DALL·E and Stable Diffusion.

The EarthByte Research Group studies geodata through time and develops collaborative software and open-access digital data collections.

Sanfoundry offers free educational and learning resources across its subject areas.

Teachable Machine lets users train models to recognize their own images, sounds, and poses without coding.

This article compares methods for detecting hallucinations in retrieval-augmented generation systems.

The SuperDataScience podcast covers data science, machine learning, AI, and data careers.

MLDB provides an open source database designed for machine learning projects.

GraphPipe provides a protocol and software for deploying machine learning models separately from their frameworks.

The scikit-learn documentation covers machine learning tools and methods for Python.

Generate color schemes with Huemint's machine learning-based palette generator.

This TabGAN repository reviews research on applying GANs to generate tabular data.

Search the arXiv for machine learning papers using this semantic search engine.

This multi-agent chatbot answers machine learning questions and can use an uploaded PDF as context.

BrickEconomy tracks LEGO collection values and market trends, with tools for organizing sets and reviewing price projections.

OpenCV provides computer vision libraries, tools, and hardware support for real-time optimized applications.

WFP's HungerMap LIVE monitors food security across more than 95 countries using forecasts and climate, economic, and nutrition data.

The visualml.io site introduces a machine learning toolkit built with JavaScript.

The Data Skeptic podcast features interviews with experts in data science, machine learning, AI, and statistics.

pomegranate provides flexible probabilistic modeling tools and algorithms for Python users.