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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.
Python code for "Probabilistic Machine learning" book by Kevin Murphy
A high performance implementation of HDBSCAN clustering.
Handout for the tutorial "Creating publication-quality figures with matplotlib"
A small library for automatical adjustment of text position in matplotlib plots to minimize overlaps.
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
Examples of matplotlib codes and plots
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
Joyplots in Python with matplotlib & pandas 📈
A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译
A JupyterLab extension for displaying cell timings
Source Code for Machine Learning in Action for Python 3.X
A Python package for exploring and analysing genetic variation data
PyWGCNA is a Python package designed to do Weighted Gene Correlation Network analysis (WGCNA)
Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>
Machine Learning Algorithms implementations
Matplotlib 3.0 Cookbook, published by Packt
Deep learning framework for SV calling and genotyping
Peregrine: Fast Genome Assembler Using SHIMMER Index
SalmonTE is an ultra-Fast and Scalable Quantification Pipeline of Transpose Element (TE) Abundances
k-mer learning materials
Interactive assembly and analysis of RAD-seq data sets