adynblaed
Follow
Lists (1)
Stars
Create and run high-performance macOS and Linux VMs on Apple Silicon, with built-in support for AI agents.
An Open-source RL System from ByteDance Seed and Tsinghua AIR
Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
A open, local Manus AI alternative. Powered with Deepseek R1. No APIs, no $456 monthly bills. Enjoy an AI agent that reason, code, and browse with no worries. Searxng recently integrated.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
An example game where player circles eat food and other circles!
Ollama chat client in Vue, everything you need to do your private text rpg in browser
The azure-quantum python package submits jobs to the Azure Quantum service.
Qiskit Nature is an open-source, quantum computing, framework for solving quantum mechanical natural science problems.
A template repository for generating new quantum prototypes based on Qiskit
A programming model for leveraging quantum and classical resources
MQT Bench - A MQT Tool for Benchmarking Quantum Software Tools
The RasQberry project: Exploring Quantum Computing and Qiskit with a Raspberry Pi and a 3D Printer
Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
Aer is a high performance simulator for quantum circuits that includes noise models
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 compu…
Build and publish crates with pyo3, cffi and uniffi bindings as well as rust binaries as python packages
Enables cloud-based AI services to access local Stdio based MCP servers via HTTP requests
Implementation of all RAG techniques in a simpler way
Autonomously train research-agent LLMs on custom data using reinforcement learning and self-verification.