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an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Coworker is the open source Al coworker that lives on your desktop
The open-source pulse on software across Greece
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It is written in Swift, and optimized for Apple silicon.
Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.
Next.js + FastAPI bootstrap template with Firebase/Firestore, testing, and Cloud Run deployment
A React Framework for building internal tools, admin panels, dashboards & B2B apps with unmatched flexibility.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
No-as-a-Service (NaaS) is a simple API that returns a random rejection reason. Use it when you need a realistic excuse, a fun “no,” or want to simulate being turned down in style.
Statistical package in Python based on Pandas
SEOntology is a universal framework and shared vocabulary for SEO, designed to standardize data across tools, connect concepts, and automate SEO and marketing tasks.
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Pyth…
Session replay, cobrowsing and product analytics you can self-host. Best for reproducing issues and iterating on your product.
Python tool for converting files and office documents to Markdown.
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
A model-agnostic visual debugging tool for machine learning
Uplift modeling and causal inference with machine learning algorithms
Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.
🪄 Create rich visualizations with AI
Sources for the book "Machine Learning in Production"
Meridian is an MMM framework that enables advertisers to set up and run their own in-house models.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
A static site generator for data apps, dashboards, reports, and more. Observable Framework combines JavaScript on the front-end for interactive graphics with any language on the back-end for data a…
Visual analysis and diagnostic tools to facilitate machine learning model selection.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Digital planner for Supernote and ReMarkable // Support Ukraine 🇺🇦 https://savelife.in.ua/en/