lazograf

asgl

A regression solver for linear and quantile regression models and lasso based penalizations'

catboost

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 computation on CPU and GPU.

crepes

Conformal classifiers, regressors and predictive systems

darts

A python library for easy manipulation and forecasting of time series.

DescTools

Tools for Descriptive Statistics and Exploratory Data Analysis

MAPIE

A scikit-learn-compatible module for estimating prediction intervals.

nixtla

Python SDK for TimeGPT

Python_Projects

R_Projects

shapr

Explaining the output of machine learning models with more accurately estimated Shapley values

lazograf/catboost

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 computation on CPU and GPU.

lazograf/crepes

Conformal classifiers, regressors and predictive systems

lazograf/darts

A python library for easy manipulation and forecasting of time series.

lazograf/DescTools

Tools for Descriptive Statistics and Exploratory Data Analysis

lazograf/forecast

forecast package for R

lazograf/lassonet

Feature selection in neural networks

lazograf/lazograf.github.io

lazograf/MAPIE

A scikit-learn-compatible module for estimating prediction intervals.

lazograf/Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

lazograf/nixtla

Python SDK for TimeGPT

lazograf/shapr

Explaining the output of machine learning models with more accurately estimated Shapley values

lazograf/sktime

A unified framework for machine learning with time series

lazograf/gluonts

Probabilistic time series modeling in Python

lazograf/interpret

Fit interpretable models. Explain blackbox machine learning.

lazograf/keras

Deep Learning for humans

lazograf/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

lazograf/mlforecast

Scalable machine 🤖 learning for time series forecasting.

lazograf/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

lazograf/nodegam

Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"

lazograf/PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

lazograf/PyPOTS

A python toolbox / library for data mining on partially-observed time series, supporting tasks of forecasting / imputation / classification / clustering on incomplete (irregularly-sampled) multivariate time series with missing values.

lazograf/Python

All Algorithms implemented in Python

lazograf/sage

For calculating global feature importance using Shapley values.

lazograf/shap

A game theoretic approach to explain the output of any machine learning model.

lazograf/statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

lazograf/tensorflow

An Open Source Machine Learning Framework for Everyone

lazograf/tf-keras

The TensorFlow-specific implementation of the Keras API, which was the default Keras from 2019 to 2023.

lazograf/Time-series-prediction

tfts: Time series deep learning models in TensorFlow

lazograf/xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

lazograf/yaglm

A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-convex penalties.