Star's Projects
Reinforcement learning resources curated
Introduction to Mathematics and Python using Neuroscience Examples
Repository for the Bayesian parameter estimation workshop
NYU PSYCH-GA 3405.002 / DS-GS 3001.006 : Computational cognitive modeling
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Computational Cognitive Neuroscience, Fourth Edition
A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Attractor model with valleys in the energy profile (Wimmer et al., Nature Communications, 2015)
š¤ Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
My workshop on machine learning using python language to implement different algorithms
Code, exercises and tutorials of my personal blog ! š
My attempts at the exercises in the book: Neuronal Dynamics by Gerstner et al
Python notebooks for Numerical Analysis
neuronaldynamics
A course in reinforcement learning in the wild
A drift-diffusion modeling (DDM) framework for Python3
Python tutorial
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This project is real-time visualization of a network recognizing digits from user's input.