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The flexible backend for all your projects 🐰 Turn your DB into a headless CMS, admin panels, or apps with a custom UI, instant APIs, auth & more.
The quantum analogue of OpenAI's "gym" python framework
Welcome to the qBraid 2025 GPU4Quantum Challenge! Find challenges, ideas, and logistics here.
Pythonic quantum-classical programming language
Biomni: a general-purpose biomedical AI agent
HDH-based IR for the compilation of distributed quantum workloads
C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows
A quantum programming language for designing and simulating quantum circuits. Features standard gates, parametric rotations, oracles, conditionals, and loops. Perfect for quantum education, researc…
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Updated Oct 1, 2025
LLVM Code Generation, published by Packt
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
🦜🔗 The platform for reliable agents.
Labs for QGSS 2025. Lectures notes can be found in a separate repo: https://github.com/qiskit-community/qgss-2025-lecture-notes
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
A clean customizable documentation theme for Sphinx
Book: Quantum Computing Architecture and Hardware for Engineers - Step by Step
Qrisp - The next generation of quantum algorithm development
Design automation software tools for Topological Quantum Error Correction
A Julia library for Pauli propagation simulation of quantum circuits and quantum systems.
Lightweight fast function pipeline (DAG) creation in pure Python for scientific (HPC) workflows 🕸️🧪
</> htmx - high power tools for HTML
A progressive Node.js framework for building efficient, scalable, and enterprise-grade server-side applications with TypeScript/JavaScript 🚀
⚡ A collection of resources and tutorials to design a better database schema.
Understanding Deep Learning - Simon J.D. Prince
A repository consisting of paper/architecture replications of classic/SOTA AI/ML papers in pytorch