23 projects
mlreserving
Model-agnostic Probabilistic Machine Learning Reserving
synthe
synthetic simulation
nnetsauce
Quasi-randomized (neural) networks
cybooster
A high-performance gradient boosting implementation using Cython
mlsauce
Miscellaneous Statistical/Machine Learning tools
yieldcurveml
Model-agnostic Machine Learning discount curve calibration, interpolation and extrapolation
techtonique-cli
A CLI tool for Techtonique API
techtonique-apis
Tools for interacting with Techtonique API
survivalist
Survival analysis built on top of scikit-learn
GPopt
Bayesian Optimization using Gaussian Process Regression
unifiedbooster
Unified interface for Gradient Boosted Decision Trees
esgtoolkit
Diffusion models for finance, insurance, economics, physics
rtopy
Lightweight bridge for calling R functions from Python
ahead
Time series forecasting with Machine Learning and uncertainty quantification
tisthemachinelearner
Lightweight interface to scikit-learn, xgboost, lightgbm, catboost, with 2 classes
the-teller
teller, explainable machine learning
genbooster
A fast boosting implementation using Rust and Python
forecastingapi
Tools for interacting with Techtonique API
glmnetforpython
Python version of glmnet, adapted from Stanford University (scikit-learn style)
learningmachine
Machine Learning with uncertainty quantification and interpretability
querier
Querying data-frames
BCN
Boosted Configuration Networks
forecasting-sandbox
Experimentations in Time Series forecasting
