vadimnazarov Goto Github PK

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.

biopreneur

bitap

cloud-gpus

This repository contains information about Cloud GPU offerings for Machine Learning practitioners.

deep-learning-resources

A collection of interesting posts and papers on deep learning.

dlab

dlbench

gd-project

immunometric

Siamese network-based metric learning for dimensionality reduction and visualization

isisworld

3D micro-world generator for evaluating AI systems

kaggle-mnist

Jupyter Notebook for Kaggle MNIST competition.

kaggle-santander

Jupyter Notebook for Kaggle Santander competition.

kaggle-titanic

Jupyter Notebook for Kaggle Titanic competition.

kidera-atchley

Load biophysicochemical properties of amino acids, Kidera factors and Atchley factors into R and Python in only a single line.

llama

A bunch of useful functions for machine learning competitions.

mimir

mors

nf

panpipes

Multi-modal single cell analysis pipelines

rust-bio

This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.

shade-repertoire

Limitations of machine learning models for specificity prediction of T-cell receptor sequences

statistics-cheat-sheet

Self-explanatory.

tcr-specificity

T-cell receptor specificity prediction using Deep Learning

tensorflow-r-examples

TensorFlow examples for R.

vadimnazarov

vadimnazarov.github.io

A repository for my blog with thoughts about system thinking, psychology, science and other interesting things.

vdjdb-db

Git-based TCR database storage & management. Submissions welcome!