Ariel Ghislain KEMOGNE KAMDOUM
@1234-Ariel-codePhD Student in Biostatistics at the University of Calgary
Language Breakdown
Lines of code distribution across 15 owned repositories
I-Shaped Developer
I-shapedSpecialist — deep expertise in Jupyter Notebook
Collaboration Network
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Repos
19
PRs
0
Growth
+18%
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Contribution activity over the past year
Blessing Bassey
@BlessingBassey
yuxuanchenbioinfo
@yuxuanchenbioinfo
Ganeshiny Sridharan
@Ganeshiny
Enoma
@davidenoma
Armand Bandiang Massoua
@bandiang2
Top Repositories
Multiyear statistical analysis of Professional Practice Standards implementation in Alberta education.
Genomic Variational Autoencoder enables stable representation learning in high-dimensional genomic data with small sample sizes
Here I am looking at some papers in ML particular in Computer vision related to medicine. So, most of the papers that I reproduce here are on ML applications in medicine. In other words, I will be using ML to solve some medical tasks.
FIGHI: Fisher-Information–Guided Hyper-interaction Inference for genome-wide epistasis discovery, summaries, and hypergraph outputs.
MOKA Snakemake pipeline for GWAS incorporating user provided multi-omics data sources such as gene expression, neural network weights, transcription factor binding, and evolutionary conservation scores.
Predicting patient drug responses using gene expresions, drugs SMILES and advanced deep learning techniques
My website
In this repository, I will be working on my final project at AMMI (African Masters of Machine Intelligence) titled "Using Machine Learning to detect and predict changes of land use from aerial imagery", where we will develop a Bayesian Recurrent Neural Network approach. The aim of this project is to investigate the use of deep learning to estimate the probability of changes in urban and rural aerial imagery. To achieve that, we will need to develop novel deep learning techniques to model the temporal aspects of diverse data sources accurately. So, the all idea of this project is to predict a map of likely future changes of a city using existing maps, simulation engines, as well as overhead imagery.
Open Source Impact
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