looper VS datascience

What are some alternatives?

Data-science-best-resources - Carefully curated resource links for data science in one place

Mage - 🧙 The modern replacement for Airflow. Mage is an open-source data pipeline tool for transforming and integrating data. https://github.com/mage-ai/mage-ai

causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.

mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.

dowhy - DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

machine-learning-for-software-engineers - A complete daily plan for studying to become a machine learning engineer.

causalglm - Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.

causal-learn - Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

Kats - Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

HumesGuillotine - Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.

mlreef - The collaboration workspace for Machine Learning