Fido
Fido is a modular C++ machine learning library designed for embedded electronics and robotics. It features trainable neural networks, reinforcement learning, and genetic algorithms, along with a robotic simulator for practical experimentation. Fido also includes a human-trainable robot control system, enhancing its usability for developers and researchers in the field.
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Top Fido Features
- Open-source C++ library
- Lightweight and modular design
- Targeted for embedded systems
- Implementations of neural networks
- Reinforcement learning methods included
- Genetic algorithms support
- Full-fledged robotic simulator
- Human-trainable robot control
- Simple integration process
- Documentation available online
- Active community support
- Ongoing development and updates
- MIT open source license
- Easy installation process
- Suitable for robotics applications
- Experimentation with robotic simulator
- Trainable using limited feedback
- Examples for various algorithms
- Quick setup for developers
- Extensive use cases in robotics.
