Starred repositories
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Quantile Regression Forests compatible with scikit-learn.
A Python toolkit for rule-based/unsupervised anomaly detection in time series
External validation of predictive models for the diagnosis, management, and severity in pediatric patients with suspected appendicitis
List of tools & datasets for anomaly detection on time-series data.
Lightning ⚡️ fast forecasting with statistical and econometric models.
Shows how to use a Bayesian Model to Predict Time Until Next Order on non-contractual & continuous business settings. Pros, Cons and Limitations of using such approach are discussed.
Repository for the paper "Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?"
Pympress is a simple yet powerful PDF reader designed for dual-screen presentations
[ACM FAccT 2024] Benchmarking the Fairness of Image Upsampling Methods
A complete computer science study plan to become a software engineer.
A Python package to assess and improve fairness of machine learning models.
Statsmodels: statistical modeling and econometrics in Python
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
A guide book on data science for busy and equally lazy Data Scientists 😄
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)
[IEEE Transactions on Medical Imaging 2024] Harvard Glaucoma Fairness: A Retinal Nerve Disease Dataset for Fairness Learning and Fair Identity Normalization
Android Application that helps organizing Flunkyball leagues and tournaments https://mikelasz.github.io/yo_flunk/
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
[ICLR 2023] Official code for the paper "Identifiability Results for Multimodal Contrastive Learning"
