Repository fo Data Engineering Course

Python logging made (stupidly) simple

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

A Multipurpose Library for Synthetic Time Series Generation in Python

Practical Python Programming (course by @dabeaz)

Algorithms for explaining machine learning models

🤖⚡ 50 scikit-learn tips

Data science teaching materials

Few projects related to Data Engineering including Data Modeling, Infrastructure setup on cloud, Data Warehousing and Data Lake development.

Best Practices, code samples, and documentation for Computer Vision.

Extra blocks for scikit-learn pipelines.

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dmls-book`

An introductory reinforcement learning course built on reveal.js

STUMPY is a powerful and scalable Python library for modern time series analysis

R package for Customer Behavior Analysis

Eliot: the logging system that tells you *why* it happened

simple tools for data cleaning in R

Clean APIs for data cleaning. Python implementation of R package Janitor

A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.

Structural implementation of RL key algorithms

Automated feature engineering for geospatial data

Koalas: pandas API on Apache Spark

Animation engine for explanatory math videos

Never use print for debugging again

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Large datasets for conversational AI

Pure Python dashboard for monitoring deep learning experiments (like TensorBoard for PyTorch/JAX/etc, without a browser)

Easy to use test framework for Jupyter Notebooks

All image quality metrics you need in one package.

Abstract your array operations.