These are my go-to libraries for Python data crunching.

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

Note from Dec 2022: The code here work beautifully and I plan to continue making minor bug fixes maintaining the current functionality. But I no longer will be making any improvements to this project.

Catalyst is a PyTorch framework for Deep Learning Research and Development. It focuses on reproducibility, rapid experimentation, and codebase reuse so you can create something new rather than write ...