KetaloChiang
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Learn how to design, develop, deploy and iterate on production-grade ML applications.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
PlaidML is a framework for making deep learning work everywhere.
VIP cheatsheets for Stanford's CS 230 Deep Learning
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
cell detection in calcium imaging recordings
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Simple, fast command-line tool to get photos from Twitter accounts
A few exercises for use at events.
An Open Source Machine Learning Framework for Everyone
Python tutorials in both Jupyter Notebook and youtube format.
Source files for "Learning Statistics with R"
Partial analyses to accompany "Uncovering temporal structure in hippocampal output patterns".
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Lab Book Database Framework with Input, Output, and Reporting Functions
Python Data Science Handbook: full text in Jupyter Notebooks
The code takes as an input a time series vector of calcium observationsand produces samples from the posterior distribution of the underlying spike in continuous time.
Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.