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This that have no conceivable use in any of my ongoing ideas, but are cool.🔮 Future ideas
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Awesome lists or other general lists of my favorite thingsmacOS
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Full blow platforms or deployable applicationsStarred repositories
Build an automated betting model to identify and predict games which are inefficiently priced and have my model simulate a real bettor over four seasons of games, visually tracking wins and losses,…
Deploy a ML inference service on a budget in less than 10 lines of code.
🔥🔥🔥 An open source alternative to Mint, YNAB, and more. Stay on budget and build wealth without sacrificing your privacy.
Open source, privacy-first web analytics. Lightweight, cookie-free Google Analytics alternative. Self-hosted or cloud.
Empowering People Ethically 🚀 — Matomo is hiring! Join us → https://matomo.org/jobs Matomo is the leading open-source alternative to Google Analytics, giving you complete control and built-in priva…
Seamlessly integrate LLMs as Python functions
Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous …
Build your own layer-2 virtual switch in less than 300 lines of code
A test fixtures replacement for Python
pySMT: A library for SMT formulae manipulation and solving
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
ModelScope: bring the notion of Model-as-a-Service to life.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A curated list of modern Generative Artificial Intelligence projects and services
Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website …
A set of pdf utilities for OSX. For more information please see https://flowpaper.com
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI
Flax is a neural network library for JAX that is designed for flexibility.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
A semantic local search engine powered by AI models.
A self-hosted, ad-free, privacy-respecting metasearch engine