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Source channel @githubtrending · Post #15340 · Dec 17

#python#gym#gym_environment#reinforcement_learning#reinforcement_learning_agent#reinforcement_learning_environments#rl_environment#rl_training NeMo Gym helps you build and run reinforcement‑learning training environments for large language models, letting you develop, test, and collect verified rollouts separately from the training loop and integrate with your preferred RL framework and model endpoints (OpenAI, vLLM, etc.). It includes ready resource servers, datasets, and patterns for multi‑step, multi‑turn, and tool‑using scenarios, runs on a typical dev machine (no GPU required), and is early-stage with evolving APIs and docs. Benefit: you can generate high‑quality, verifiable training data faster and plug it into existing training pipelines to improve model behavior. https://github.com/NVIDIA-NeMo/Gym

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@githubtrending · Post #14665 · 05/03/2025, 11:30 AM

#python#acura#audi#autopilot#chrysler#comma#fsd#genesis#honda#hyundai#jeep#kia#lexus#mazda#nissan#openpilot#ram#selfdriving#tesla#toyota#volkswagen sunnypilot is a free, open-source driver assistance system that works with over 300 car models, offering features like independent lane centering and adaptive cruise control for a safer, more customizable driving experience. It requires a compatible device (like comma three) and a supported car with adaptive cruise control, providing smoother steering, automatic speed adjustments, and easy updates through user-friendly installation options. Users benefit from enhanced safety, personalized driving settings, and access to a community for support and updates. https://github.com/sunnypilot/sunnypilot

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@githubtrending · Post #14795 · 06/05/2025, 02:30 PM

#cplusplus#arducopter#ardupilot#arduplane#ardurover#ardusub#autopilot#auv#copter#drone#dronekit#mavlink#plane#robotics#ros#rov#rover#sub#uas#uav#ugv ArduPilot is a powerful and open-source autopilot system that can control many types of vehicles, including drones, planes, helicopters, and even submarines. It offers features like autonomous flight modes, programmable missions, and support for various sensors and communication systems. This system is highly reliable and customizable, making it beneficial for users who need advanced control over their vehicles. It also has a strong community and extensive documentation, which helps users learn and improve their projects. https://github.com/ArduPilot/ardupilot