A Python package for the statistical analysis of A/B tests.

Free Data Engineering course!

"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Это репозиторий для проведения курса по The Missing Semester of Your CS Education в университете Высшая Школа Экономики

A complete computer science study plan to become a software engineer.

Collection of articles listing reasons why data science projects fail.

Companies that relocate Software Engineers from Russia, Belarus and Ukraine

Mega list of 1 on 1 meeting questions compiled from a variety to sources

Streamlit — A faster way to build and share data apps.

A better Python REPL

An Exhaustive Paper List for Text Summarization

FastAPI framework, high performance, easy to learn, fast to code, ready for production

A list of established remote companies

A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo animation」, which uses the GAN framwork to trans…

Coverage plugin for pytest.

🚴 Call stack profiler for Python. Shows you why your code is slow!

GPU fan control for headless Linux

Тимлид – это ❄️, потому что в каждой компании он уникален и неповторим.

Must-read papers on graph neural networks (GNN)

The Google Cloud Developer's Cheat Sheet

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

Prefect is a workflow orchestration framework for building resilient data pipelines in Python.

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

Over 400 software engineering companies that are easy to apply to

A curated list of awesome responsible machine learning resources.

Latex code for making neural networks diagrams

A collection of (mostly) technical things every software developer should know about