Pinned Repositories
2019-01-26-rworkshop-dhthess
ainalic.github.io
bioFreelancers
Freelance bioinformaticians directory
biostar-tutorials
Code for biostar tutorials - mostly R and Perl
cancer-data
TCGA data acquisition and processing for Project Cognoma
cytofNet
Unbiased identification of ideal clusters, k, in mass cytometry time-of-flight (CyTOF) data, with interrogation of clusters via network analysis.
data-scientist-roadmap
Toturial coming with "data science roadmap" graphe.
deep-learning-class
Deep Learning Practical Lectures
ds-cheatsheets
List of Data Science Cheatsheets to rule the world
incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
ainalic's Repositories
ainalic/2019-01-26-rworkshop-dhthess
ainalic/ainalic.github.io
ainalic/bioFreelancers
Freelance bioinformaticians directory
ainalic/biostar-tutorials
Code for biostar tutorials - mostly R and Perl
ainalic/cancer-data
TCGA data acquisition and processing for Project Cognoma
ainalic/cytofNet
Unbiased identification of ideal clusters, k, in mass cytometry time-of-flight (CyTOF) data, with interrogation of clusters via network analysis.
ainalic/data-scientist-roadmap
Toturial coming with "data science roadmap" graphe.
ainalic/deep-learning-class
Deep Learning Practical Lectures
ainalic/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
ainalic/incubator-mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
ainalic/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
ainalic/snp2path2strata
ainalic/rnaseq_tutorial
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file formats, reference genomes, gene annotation, expression, differential expression, alternative splicing, data visualization, and interpretation.
ainalic/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow