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Satpreet's Projects

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Repository for managing the Data Science in Practice website.

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Reinforcement Learning for Spiking Neural Networks

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Solving the Traveling Salesman Problem using Self-Organizing Maps

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Nonlinear Dynamical Systems (nlds) tools for time-series analysis.

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Bayesian learning and inference for state space models

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Topics Course on Deep Learning UC Berkeley

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Sticky hierarchical Dirichlet process hidden Markov model for time series denoising

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Code and data for "Stochastic Modeling for Scientific Data" book

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Infer activity throughout the brain from a small(ish) number of electrodes using Gaussian process regression

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code for Structured Variational Autoencoders

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course materials for the 2017 Summer Workshop on the Dynamic Brain

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Course materials for the 2018 Summer Workshop on the Dynamic Brain

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Reducing the temporal-difference learning theory of dopamine to a linear dynamical system

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