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Updated
Jun 29, 2022 - Swift
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Python sample codes for robotics algorithms.
Google Chromium, sans integration with Google
This is the release repository for Fan Control, a highly customizable fan controlling software for Windows.
Contains some simple and commonly used WPF controls
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Tensorforce: a TensorFlow library for applied reinforcement learning
WPF Ribbon control like in Office
The Operator Splitting QP Solver
Shadow is a discrete-event network simulator that directly executes real application code, enabling you to simulate distributed systems with thousands of network-connected processes in realistic and scalable private network experiments using your laptop, desktop, or server running Linux.
Efficient Batched Reinforcement Learning in TensorFlow
A segmented control with custom appearance and interactive animations. Written in Swift 3.0.
Per this comment in #12
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
Shared Controlz for WPF and ... more
Contains some simple and commonly used WPF controls based on HandyControl
Dynamics and Domain Randomized Gait Modulation with Bezier Curves for Sim-to-Real Legged Locomotion.
Toast notifications for WPF allows you to create and display rich notifications in WPF applications. It's highly configurable with set of built-in options like positions, behaviours, themes and many others. It's extendable, it gives you possibility to create custom and interactive notifications in simply manner.
Virtual Treeview is a Delphi treeview control
PyBullet Gym environments for single and multi-agent reinforcement learning of quadcopter control
Image Processing with Cellular Neural Networks in Python
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I noticed in miroslavpejic85/p2p@171947c that the stun servers are hardcoded. Wouldn't it be better practice to leave them easily editable in a config file (possibly eventually in the GUI)?