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Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
Pioneering Automated GUI Interaction with Native Agents
类似按键精灵的鼠标键盘录制和自动化操作 模拟点击和键入 | automate mouse clicks and keyboard input
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
Lightning ⚡️ fast forecasting with statistical and econometric models.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
MLBox is a powerful Automated Machine Learning python library.
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Automated Attack Simulation in the Cloud, complete with detection use cases.
Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)
A generic interface for the environmental perception of automated driving functions in virtual scenarios.
Maze Applied Reinforcement Learning Framework
Solve automatic numerical differentiation problems in one or more variables.
Automated 3D cell detection in very large images
Simulation-based Lidar Super-resolution for Ground Vehicles
An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC
Automated 3D brain registration with support for multiple species and atlases.
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
Autonomous multi-agent framework to optimize scientific software
Open-source simulation harness for testing AI agents. Simulate LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.