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Understanding Deep Learning - Simon J.D. Prince
DNA methylation analysis notes from Ming Tang
Code Repository for Machine Learning with PyTorch and Scikit-Learn
An open access book on scientific visualization using python and matplotlib
Awesome resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl) and miscellaneous stuff.
A collection of genomics software tools written in Rust
Curated list of project-based tutorials
📃 A list of practical projects that anyone can solve in any programming language.
Open source code for AlphaFold 2.
An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
Machine Learning and Agentic AI Resources, Practice and Research
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
These are the instructions for "100 Days of ML Code" By Siraj Raval on Youtube
100 Days of Machine Learning Challenge
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
All notes and materials for the CS229: Machine Learning course by Stanford University
🎓 A collection of interactive courses for the swirl R package.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Teaching Material for a Machine Learning course with Keras and Tensorflow in R
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A curated list of resources for learning bioinformatics.
Materials for short, half-day workshops
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Aggregate results from bioinformatics analyses across many samples into a single report.
In this study, we perform systematic comparative analysis of seven widely-used SNV-calling methods, including SAMtools, the GATK Best Practices pipeline, CTAT, FreeBayes, MuTect2, Strelka2 and VarS…
"The who the what the huh?" is our pipeline for converting bcl files to fastq and performing QC.