All Algorithms implemented in Python

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

Jupyter metapackage for installation and documentation

SciPy library main repository

Convert Machine Learning Code Between Frameworks

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

Machine learning for NeuroImaging in Python

A system for assigning and grading notebooks

Fast, flexible and fun neural networks.

Simple finite element assemblers

Neuroimaging in Python FMRI analysis package

Converting real-time EEG into sounds, music and visual effects

A utility to read and write PDFs with Python

Outdated, see new https://github.com/braindecode/braindecode

MNELAB – a GUI for MNE-Python

SoS workflow system for daily data analysis

Cortical neuroimaging visualization in Python

Topological Data Analysis Routines

A multiplexer kernel for Jupyter

ENTERPRISE (Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE) is a pulsar timing analysis code, aimed at noise analysis, gravitational-wave searches, and timing model analysis.

Compute and plot standard EEG electrode positions.

Benchmark of data augmentations for EEG (code from Rommel, Paillard, Moreau and Gramfort, "Data augmentation for learning predictive models on EEG: a systematic comparison", 2022).

Projects and assets from Wireframe #25

Source Code for 'Beginning PyQt' by Joshua Willman