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Chongqing Medical University, China
- Chongqing, China
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09:36
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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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 ;)
Data and code behind the articles and graphics at FiveThirtyEight
📡 Simple and ready-to-use tutorials for TensorFlow
The "Python Machine Learning (1st edition)" book code repository and info resource
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Recipes for using Python's pandas library
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
Text and supporting code for Think Stats, 2nd Edition
Useful functions, tutorials, and other Python-related things
felixge's notes on the various go profiling methods that are available.
Lectures on scientific computing with python, as IPython notebooks.
Open Content for self-directed learning in data science
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Tutorial on scikit-learn and IPython for parallel machine learning
Examples of matplotlib codes and plots
IPython kernel for Torch with visualization and plotting
Materials for my Pycon 2015 scikit-learn tutorial.
Area-weighted venn-diagrams for Python/matplotlib
A library for creating complex UpSet plots with ggplot2 geoms
NCBI Datasets is a new resource that lets you easily gather data from across NCBI databases.
useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html
Code and examples for JHU Computational Genomics class
Ultra-deep search for novel viruses
Sequana: a set of Snakemake NGS pipelines
SIMD-accelerated library for computing global and X-drop affine gap penalty sequence-to-sequence or sequence-to-profile alignments using an adaptive block-based algorithm.
Reproducible machine learning analysis of gene expression and alternative splicing data
Prediction of prophages from bacterial genomes