Show HN: Syna – Minimal ML and RL Framework Built from Scratch with NumPy
a day ago
- #python
- #machine-learning
- #reinforcement-learning
- Syna is a lightweight machine learning framework inspired by DeZero, built using NumPy with a define-by-run approach.
- It includes a basic reinforcement learning framework within a single library, designed for beginners and researchers.
- Performance is not a focus; GPU support is omitted for simplicity and ease of understanding.
- Installation can be done via GitHub or PyPI, with Graphviz required for visualizing computation graphs.
- Example provided for visualizing the computation graph of the fifth derivative of tanh(x).
- Includes a DQN algorithm example for solving CartPole-v1.
- Licensed under the MIT License.