Lists (2)
Stars
Skills for Real Engineers. Straight from my .agents directory.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
A self-hosted Dynamic DNS solution similar to DynDNS or NO-IP
A feature-rich command-line audio/video downloader
A curated list of awesome System Design (A.K.A. Distributed Systems) resources.
A list of Free Software network services and web applications which can be hosted on your own servers
Docs is an open-source text editor: web-native, made for real-time collaboration, cleanly structured documents and sub-documents with full ownership of your data. Built to scale with Django and React.
Never ever ever use pixelation as a redaction technique
Listing of papers about machine learning for proteins.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
A curated list of engineering blogs
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Benchmark datasets, data loaders, and evaluators for graph machine learning
A Curated List of Computational Biology Datasets Suitable for Machine Learning
TACCO: Transfer of Annotations to Cells and their COmbinations
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 ;)
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼
An open access book on scientific visualization using python and matplotlib
The dataset is used to train my own raccoon detector and I blogged about it on Medium
A topic-centric list of HQ open datasets.
Concise and beautiful algorithms written in Julia
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Python programs, usually short, of considerable difficulty, to perfect particular skills.
To learn about optics and microscopy, we generated a simple to build lego microscope that does not need precision optics and 3D printed parts.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™