gashanjakim Goto Github PK

github-slideshow

A robot powered training repository :robot:

glbio-2021

handson-ml2

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.

heinrich-2021a

Resources for Heinrich et al., 2021

helminths_2021

hts-specs

Specifications of SAM/BAM and related high-throughput sequencing file formats

in-depth-ngs-data-analysis-course

intro2machinelearning

introduction_to_python_programming

Introduction to Python Programming authored by Gowrishankar S, Veena A and published by CRC Press.

journal_club

kenya01

lshtm_parasitegenomics_2020

machine-learning-in-r

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

machine_learning_complete

A comprehensive repository containing 30+ notebooks on learning machine learning!

machinelearning4genomics

Machine Learning for Genomics Course prepared for the EANBiT fellows.

machinelearning_notes

Machine learning and deep learning resources

macrophy_course

Macroevolution & Phylogenetics Course

mars-update-pipeline

master

A machine learning course using Python, Jupyter Notebooks, and OpenML

metagenomics_training

micb405

Tutorials and project information for MICB405

mini-projects-2020

mini-projects-2021

ml-genomics-resources

Machine Learning for Genomics and Therapeutics Resources (Cell Patterns)

ml-in-genomics-2021

Course material for the lecture "Feature selection in GWAS" in the intensive course "Machine Learning in Genomics", April 2021.

ml-pitfalls

Notebooks accompanying the paper "Navigating the pitfalls of applying machine learning in genomics"

ml_medbioinfo

Machine Learning in Medical Bioinformatics

mlmb_materials

module_3_read_alignment

Read Alignment for WTAC NGS Bioinformatic course

mummer

Mummer alignment tool