The fastai book, published as Jupyter Notebooks

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

Acceptance rates for the major AI conferences

Machine Learning in Asset Management (by @firmai)

A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry thr…

A curated list of practical business machine learning (BML) and business data science (BDS) applications for Accounting, Customer, Employee, Legal, Management and Operations (by @firmai)

A general-purpose framework for solving problems with machine learning applied to predicting customer churn

Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.

Content for architecting a data science platform for products using Luigi, Spark & Flask.

FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)

Predict whether a loan will be repaid using automated feature engineering.

Transcriptions of the seenunseen.in podcast generated using openai's whisper model