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Python Data Science Handbook: full text in Jupyter Notebooks
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
This repository contains implementations and illustrative code to accompany DeepMind publications
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Jupyter notebooks from the scikit-learn video series
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
NMA Computational Neuroscience course
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
A site that displays up to date COVID-19 stats, powered by fastpages.
Noise reduction in python using spectral gating (speech, bioacoustics, audio, time-domain signals)
COVID-Net Open Source Initiative
A repo for the pre-course work at home exercises
CS198-96: Intro to Neurotechnology @ UC Berkeley
Deep Learning with Tensor Flow for EEG MNE Epoch Objects
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
Brain Tumor Detection Using Convolutional Neural Networks.
Intro to deep learning for medical imaging lesson, by MD.ai
This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
Previous version of eeg-notebooks
python implementations of Analyzing Neural Time Series Textbook
EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.
COGS118C [Neural Signal Processing] @ UCSanDiego
Material for Pybrain 2020 MNE-Python workshop
Learn Nipype with these tutorial notebooks - go here to see them online -->
NSCI 801 (Queen's U) Quantitative Neuroscience course materials
Repository containing Jupyter Notebooks for most of the blog posts on my blog. For example, there are data visualization, data manipulation, and data analysis code examples in the Notebooks