vladpunko

data-science-interviews

Data science interview questions and answers

trash-cli

Command line interface to the freedesktop.org trashcan.

joblib

Computing with Python functions.

subsample

Randomly sample lines from a csv, tsv, or other line-based data file

pdir2

Pretty dir() printing with joy:beer:

clearml

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

neoml

Machine learning framework for both deep learning and traditional algorithms

PlotNeuralNet

Latex code for making neural networks diagrams

imbalanced-learn

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

hashdeep

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

visual-git-guide

A visual guide to git.

docker-stacks

Ready-to-run Docker images containing Jupyter applications

papers

The most influential papers about distributed systems, databases, algorithms and data structures

cstar-migrate

Cassandra schema migration tool

biokit

Bioinformatics in Python

doit

CLI task management & automation tool

wttr.in

:partly_sunny: The right way to check the weather

black

The uncompromising Python code formatter

K3D-jupyter

K3D lets you create 3D plots backed by WebGL with high-level API (surfaces, isosurfaces, voxels, mesh, cloud points, vtk objects, volume renderer, colormaps, etc). The primary aim of K3D-jupyter is to be easy for use as stand alone package like matplotlib, but also to allow interoperation with existing libraries as VTK.

linuxify

🍏🐧 Transparently transform the macOS CLI into a fresh GNU/Linux CLI experience.

DL-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

opencv

Open Source Computer Vision Library