evgeni-nikolaev
I am an applied mathematician and data scientist working in Systems Cancer Biology by employing ML and AI Python & R tools to analyze Big Data.
Westampton, 08060
Pinned Repositories
1804_python_healthcare
pdf, py, and jupyter notebook files for https://pythonhealthcare.org/
2015
Public material for CS109
2015lab1
2015lab5
Lab 5, the first on Machine Learning!
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
alphafold
Open source code for AlphaFold.
Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
Translating ML into Bayes, one line at a time
ArtofStatistics
Code for 'The Art of Statistics'
evgeni-nikolaev's Repositories
evgeni-nikolaev/accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
evgeni-nikolaev/alphafold
Open source code for AlphaFold.
evgeni-nikolaev/arviz
Exploratory analysis of Bayesian models with Python
evgeni-nikolaev/awesome-pipeline
A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin
evgeni-nikolaev/biofx_python
Code for Mastering Python for Bioinformatics (O'Reilly, 2021, ISBN 9781098100889)
evgeni-nikolaev/biopython
Official git repository for Biopython (originally converted from CVS)
evgeni-nikolaev/BookRepo
evgeni-nikolaev/boostime
The Tidymodels Extension for Time Series Boosting Models
evgeni-nikolaev/cheatsheets
RStudio Cheat Sheets
evgeni-nikolaev/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
evgeni-nikolaev/Coronary_heart_disease_prediction
evgeni-nikolaev/dask
Parallel computing with task scheduling
evgeni-nikolaev/emoji-cheat-sheet
A markdown version emoji cheat sheet
evgeni-nikolaev/fastai
The fastai deep learning library
evgeni-nikolaev/free_python_tips
evgeni-nikolaev/gluon-ts
Probabilistic time series modeling in Python
evgeni-nikolaev/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
evgeni-nikolaev/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
evgeni-nikolaev/mastering-pycharm-course
Course demos and handouts for Talk Python's Mastering PyCharm course
evgeni-nikolaev/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
evgeni-nikolaev/pandas-1
Data & Code for my video on the Pandas library of Python
evgeni-nikolaev/pycon-2016-tutorial
Machine Learning with Text in scikit-learn
evgeni-nikolaev/python-cheatsheet
Comprehensive Python Cheatsheet
evgeni-nikolaev/rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
evgeni-nikolaev/rmedicine2021-pipeline
Example code for a possible talk at R/Medicine 2021 (submitted and under review, accepted talks not yet determined)
evgeni-nikolaev/SO-Ontologies
Collect of SO Ontologies
evgeni-nikolaev/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
evgeni-nikolaev/stan-1
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
evgeni-nikolaev/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
evgeni-nikolaev/Springboard