gashanjakim's repositories
mummer
Mummer alignment tool
cs231n.github.io
Public facing notes page
bioinformatics-workbook
Bioinformatics Workbook repository
venom_population_genomics
Rattlesnake venom population genomics
docker-builds
:package: :whale: Dockerfiles and documentation on tools for public health bioinformatics
scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
exercise
exercise repo for git lecture
wrangling-genomics
Data Wrangling and Processing for Genomics
Workflows_and_package_management
Reproducibility and package management : workflow languages (CWL, Snakemake, Conda).
SydneyPhyloWorkshop
Sydney Phylogenetics Workshop
Tutorials-software-guide
Contains guide on how to run graphical software's, Pipelines and tutorials on sample use cases of analysis on the cluster.
MachineLearning4Genomics
Machine Learning for Genomics Course prepared for the EANBiT fellows.
heinrich-2021a
Resources for Heinrich et al., 2021
ml-in-genomics-2021
Course material for the lecture "Feature selection in GWAS" in the intensive course "Machine Learning in Genomics", April 2021.
WWPG_2021
Course materials for the Advanced Courses Working With Pathogen Genomes course run virtually in Asia 10-14 May 2021
convolutional-neural-network-image_recognition_case_study
Computer Vision Case Study in image recognition to classify an image to a binary class, based on Convolutional Neural Networks (CNN), with TensorFlow and Keras in Python, to identify from an image whether it is an image of a dog or cat. (Includes: Data, Case Study Paper, Code)
Data-mining
Data mining to discover trends in Open Science in Kenya
ML_medbioinfo
Machine Learning in Medical Bioinformatics
VIGOR4
VIGOR4
Machine-Learning-in-R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
companion
This repository has been archived, currently maintained version is at https://github.com/iii-companion/companion
awesome-ml-courses
Awesome free machine learning and AI courses with video lectures.