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📚 Freely available programming books
🦜🔗 The platform for reliable agents.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
FastAPI framework, high performance, easy to learn, fast to code, ready for production
🏡 Open source home automation that puts local control and privacy first.
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
A high-throughput and memory-efficient inference and serving engine for LLMs
Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to clo…
Financial data platform for analysts, quants and AI agents.
Clone a voice in 5 seconds to generate arbitrary speech in real-time
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Rich is a Python library for rich text and beautiful formatting in the terminal.
Transforms complex documents like PDFs into LLM-ready markdown/JSON for your Agentic workflows.
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.
Streamlit — A faster way to build and share data apps.
A community-maintained Python framework for creating mathematical animations.
A community-supported supercharged document management system: scan, index and archive all your documents
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Easily train a good VC model with voice data <= 10 mins!
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
DSPy: The framework for programming—not prompting—language models
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,…
Python sample codes and textbook for robotics algorithms.
Deezer source separation library including pretrained models.