Find logos in images and videos in just one-shot. Never be embarrassed again to say that you have a small data situation!

Repo for Yale Applied Empirical Methods PHD Course

A full example for causal inference on real-world retail data, for elasticity estimation

A brand logo detection system using tensorflow object detection API.

Curso de Inferencia Causal

Uplift modeling and causal inference with machine learning algorithms

BAyesian Model-Building Interface (Bambi) in Python.

It's React, but in Python

A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

A Python package for causal inference in quasi-experimental settings

Pseudo API for Google Trends

distfit is a python library for probability density fitting.

Python-centered read-along of Forecasting: Principles and Practice

Probabilistic time series modeling in Python

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Berlin Time Series Analysis Repository

Python port of CausalImpact R library

Time series forecasting with machine learning models

A unified framework for machine learning with time series

🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Source code accompanying O'Reilly book: Machine Learning Design Patterns

An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems

Code, Notebooks and Examples from Practical Business Python

The machine learning toolkit for time series analysis in Python