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📚 Freely available programming books
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
The Python micro framework for building web applications.
Interact with your documents using the power of GPT, 100% privately, no data leaks
Rich is a Python library for rich text and beautiful formatting in the terminal.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
A collection of learning resources for curious software engineers
The Big List of Naughty Strings is a list of strings which have a high probability of causing issues when used as user-input data.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Streamlit — A faster way to build and share data apps.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
🥧 HTTPie CLI — modern, user-friendly command-line HTTP client for the API era. JSON support, colors, sessions, downloads, plugins & more.
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
Python packaging and dependency management made easy
The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Certbot is EFF's tool to obtain certs from Let's Encrypt and (optionally) auto-enable HTTPS on your server. It can also act as a client for any other CA that uses the ACME protocol.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Convert PDF to markdown + JSON quickly with high accuracy
If you live in the terminal, kitty is made for you! Cross-platform, fast, feature-rich, GPU based.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…