Vadim I. Nazarov's repositories
kidera-atchley
Load biophysicochemical properties of amino acids, Kidera factors and Atchley factors into R and Python in only a single line.
deep-learning-resources
A collection of interesting posts and papers on deep learning.
statistics-cheat-sheet
Self-explanatory.
tcr-specificity
T-cell receptor specificity prediction using Deep Learning
adversarial-mhc
Adversarial autoencoders for MHCI epitope and immunogenicity prediction
awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
cloud-gpus
This repository contains information about Cloud GPU offerings for Machine Learning practitioners.
immunometric
Siamese network-based metric learning for dimensionality reduction and visualization
kaggle-mnist
Jupyter Notebook for Kaggle MNIST competition.
kaggle-santander
Jupyter Notebook for Kaggle Santander competition.
kaggle-titanic
Jupyter Notebook for Kaggle Titanic competition.
panpipes
Multi-modal single cell analysis pipelines
shade-repertoire
Limitations of machine learning models for specificity prediction of T-cell receptor sequences
tensorflow-r-examples
TensorFlow examples for R.
vadimnazarov.github.io
A repository for my blog with thoughts about system thinking, psychology, science and other interesting things.