AI Data & Analytics

Indico benchmarks language models on extractive, classification, and predictive tasks.

Omnigraph provides a graph engine for lakehouse data with Git-style workflows.

Breadcrumb turns campaign and sponsorship data into live recaps and ROI reports for sports and entertainment teams.

Spatial AI and procedural knowledge research: a GPU-native reference implementation for concepts proposed to PM-KR, exploring shared knowledge for human and AI clients.

imgsys lets users compare outputs from image models and ranks them through side-by-side voting.

The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media.

Zerve supports research and analytics workflows, with AI agents for data discovery, analysis, reports and production deployment.

Deploybase compares GPU cloud and language model API prices, performance benchmarks, and provider market data.

Data Science Weekly Newsletter: A free weekly newsletter featuring curated news, articles and jobs related to Data Science.

This repository implements YOLOv3 variants in PyTorch for real time object detection, training, validation, inference, and export.

BacklinkGPT finds potential link sites and contacts, drafts outreach, and follows up through an AI agent for businesses.

Captum explains model behavior and supports interpretability analysis for PyTorch systems.

Built for designers, journalist and non-technical people can tell their stories.

WhichLLM tests local language models on a user’s hardware and ranks them using recent benchmarks.

The Featuretools Python library supports automated feature engineering and is published as open source.

Virlo tracks video trends, creators and competitors across TikTok, YouTube Shorts and Reels, turning breakout clips into content briefs.

Manifold provides visual debugging for machine learning models without depending on a specific model type.

PyTorch Geometric provides graph neural network tools and libraries for PyTorch projects.

SandboxAQ applies artificial intelligence and computing to challenges including quantitative models and scientific research.

Speetals monitors website performance using real-user metrics and Core Web Vitals data.

DVC tracks data versions and machine learning experiments for collaborative development.

This NBER paper studies language models as both researchers and subjects in automated social science.

A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.