Starred repositories
Lifetime Expected Credit Loss calculation under IFRS 9
The full scope of IFRS 9 Impairment models including PD, LGD and EAD are provided. It also covers ECL, which is the combination of those three parameters as well as staging criteria.
Bayesian CausalImpact for Python — R-compatible Gibbs sampler in Rust (PyO3), 30x faster, no TensorFlow
Self-hosted software for managing artisanal D2C micro-businesses
The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.
A FOSS navigation SDK built from the ground up for the future
Fast Multimodal Semantic Deduplication & Filtering
The Resampling Delusion: A Geometric Theory of Class Imbalance
Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.
Open-source Rules Engine editor with Simulator
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Pyth…
Open-source Business Rules Engine for your Rust, NodeJS, Python, Go, Java, C#, Kotlin (JVM), Kotlin (Android) and Swift (iOS) applications.
(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning
Fast Weight of Evidence (WOE) Encoding and Inference
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Discrete choice modeling in Python with large datasets & single choice / basket models - Assortment & Pricing Optimization .
🪼 a python library for doing approximate and phonetic matching of strings.
OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lift) of ad campaign.
Python package for computing profit-maximizing bidding strategies for batteries under uncertain market prices.
Open source chatbot untuk toko donat. Menerima pesanan, hitung PPN, ongkir, dan diskon otomatis