https://github.com/cheind/monte-carlo-integration
Theory and implementation of Monte Carlo integration techniques
https://github.com/cheind/pl-git-callback
A PyTorch-Lightning callback to increase model reproducibility through enforcing consistent git repository states upon training and validation.
https://github.com/cheind/single-view-metrology
A collection of tools to recover the structure of the 3D world from a single color image.
https://github.com/cheind/gcsl
Implementation of "Learning to Reach Goals via Iterated Supervised Learning"
https://github.com/cheind/8point
8 Point algorithm for estimating fundamental matrix.
https://github.com/cheind/semi-supervised-em
Code for 'Notes on Semi-Supervised Expectation Maximization'
https://github.com/cheind/tensorbox
Fork of TensorBox, providing Windows 10 / Tensorflow 1.x / Python 3.5 support.
https://github.com/cheind/hue-depth-encoding
Depth map compression by colorization in vectorized form
https://github.com/chelauk/sarek
Analysis pipeline to detect germline or somatic variants from WGS / targeted sequencing
https://github.com/chelauk/ichorcna
Estimating tumor fraction in cell-free DNA from ultra-low-pass whole genome sequencing.
https://github.com/chelauk/methylseq
Methylation (Bisulfite-Sequencing) analysis pipeline using Bismark or bwa-meth + MethylDackel
https://github.com/chelauk/comp-genomics-class
Code and examples for JHU Computational Genomics class