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.

An opinionated list of Python frameworks, libraries, tools, and resources

A curated list of awesome Go frameworks, libraries and software

Master the command line, in one page

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Public repository for Agent Skills

Tensors and Dynamic neural networks in Python with strong GPU acceleration

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

Open Source Continuous File Synchronization

The fastest path to AI-powered full stack observability, even for lean teams.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Models and examples built with TensorFlow

simple terminal UI for git commands

A high-throughput and memory-efficient inference and serving engine for LLMs

🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.

Apache Superset is a Data Visualization and Data Exploration Platform

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

The Patterns of Scalable, Reliable, and Performant Large-Scale Systems

Run your GitHub Actions locally 🚀

Deep Learning for humans

Inference code for Llama models

Rich is a Python library for rich text and beautiful formatting in the terminal.

A tool for exploring each layer in a docker image

JSON for Modern C++

Learn how to develop, deploy and iterate on production-grade ML applications.

⚡ Serverless Framework – Effortlessly build apps that auto-scale, incur zero costs when idle, and require minimal maintenance using AWS Lambda and other managed cloud services.

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

Streamlit — A faster way to build and share data apps.