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A collection of (mostly) technical things every software developer should know about
Machine Learning Engineering Open Book
A Bulletproof Way to Generate Structured JSON from Language Models
🚀 The fast, Pythonic way to build MCP servers and clients.
An open and interoperable data framework for spatial omics data
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Simple, safe way to store and distribute tensors
An implementation of chunked, compressed, N-dimensional arrays for Python.
NumPy and SciPy on Multi-Node Multi-GPU systems
A middle-to-high level open source algorithm book designed with coding interview at heart!
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Centralized documentation for onboarding on detect-teppe project
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools lik…
A Python package to assess and improve fairness of machine learning models.
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Event Driven Orchestration & Scheduling Platform for Mission Critical Applications
Methods for detecting doublets in single-cell sequencing data
Make huge neural nets fit in memory
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
Awesome-LLM: a curated list of Large Language Model
A repository to compute the movement features related to epilepsy seizures
A library to compute ECG signal quality indicators
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 👇🏼