Python Data Science Handbook: full text in Jupyter Notebooks

A game theoretic approach to explain the output of any machine learning model.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Gaussian Process Optimization using GPy

Evaluation of the CNN design choices performance on ImageNet-2012.

Interactive Lecture Notes, Slides and Exercises for Statistical NLP

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

Kipoi's model zoo API

Collection of jupyter notebooks for demonstrating software.

CNN architecture for predicting DNA binding sites for Transcription Factors

Code and data used in The Great Repertoire Project

A wrapper class for the scikit-learn BaseEstimator class that implements both the astroML and Bovy et al. (2011) XDGMM methods.

Analysis of the effect of sequence padding on the performance of a hierarchical EC number prediction task.

kvector is a small utility for converting motifs to kmer vectors to compare motifs of different lengths

The Atlas of Immunoglobulin Repertoires (TheAIR)

Hyperparameter-Optimization-Tutorial

Analysis of adaptive immune receptor repertoires (2016) course slides and notes

An example for generating a report with ipypublish (nbpublish command)

TensorFlow Tutorials with YouTube Videos

Markdown <=> IPython Notebook