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Self-hostable, open-source LaTeX editor with live PDF preview and a full REST API.
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
A 14 day experiment to clone Slack with Claude Code
#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
Hands-on introduction to HPC+QPU lecture material
This compendium reviews significant published research contributions and industrial engineering practices in leveraging Generative AI and LLMs for developing search, recommender, personalization, a…
Source for Who're Interested in Data!
Python tool for converting files and office documents to Markdown.
Verili Bilimi için Temel Python Kodları
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
21 Lessons, Get Started Building with Generative AI
Lists of company wise questions available on leetcode premium. Every csv file in the companies directory corresponds to a list of questions on leetcode for a specific company based on the leetcode …
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A complete computer science study plan to become a software engineer.
Front End interview preparation materials for busy engineers (updated for 2026)
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Curated coding interview preparation materials for busy software engineers
All Algorithms implemented in Python
CUDA Templates and Python DSLs for High-Performance Linear Algebra
Superduper: End-to-end framework for building custom AI applications and agents.
Examples and guides for using the OpenAI API
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Example project is built with .NET 7, Minimal API, DDD, CQRS, Integration Test
Python package to accelerate the sparse matrix multiplication and top-n similarity selection