Popular GitHub Repositories for Quantum Safe

Type-safe search params state manager for React frameworks - Like useState, but stored in the URL query string.

HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start giving your AI agents safe access to the world. Agentic Workflows, human in the loop, tool calling

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups. If you are excited about democratizing AI access & AI agents, please star ⭐️ this repository and use the link in the readme to join our open source AI research team.

A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

[IEEE RA-L'25] NavRL: Learning Safe Flight in Dynamic Environments (NVIDIA Isaac/Python/ROS1/ROS2)

JMLR: OmniSafe is an infrastructural framework for accelerating SafeRL research.

Browser4: a lightning-fast, coroutine-safe browser for your AI.

SchNetPack - Deep Neural Networks for Atomistic Systems

Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.

The repository is for safe reinforcement learning baselines.

A type-safe, elegant iMessage SDK for macOS with zero dependencies

Machine learning algorithms for many-body quantum systems

A Benchmark of Text Classification in PyTorch

Make your GenAI Apps Safe & Secure :rocket: Test & harden your system prompt