Lazaros Zografopoulos (lazograf)

lazograf

Geek Repo

Company:University of St Andrews

Location:St Andrews, Scotland

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Lazaros Zografopoulos's repositories

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.

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crepes

Conformal classifiers, regressors and predictive systems

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darts

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

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DescTools

Tools for Descriptive Statistics and Exploratory Data Analysis

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forecast

forecast package for R

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lassonet

Feature selection in neural networks

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MAPIE

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

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Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

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nixtla

Python SDK for TimeGPT

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shapr

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

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sktime

A unified framework for machine learning with time series

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gluonts

Probabilistic time series modeling in Python

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interpret

Fit interpretable models. Explain blackbox machine learning.

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keras

Deep Learning for humans

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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.

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mlforecast

Scalable machine 🤖 learning for time series forecasting.

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neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

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nodegam

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

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PyPortfolioOpt

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

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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.

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Python

All Algorithms implemented in Python

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sage

For calculating global feature importance using Shapley values.

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shap

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

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statsforecast

Lightning ⚡️ fast forecasting with statistical and econometric models.

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tensorflow

An Open Source Machine Learning Framework for Everyone

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tf-keras

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

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Time-series-prediction

tfts: Time series deep learning models in TensorFlow

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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

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yaglm

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

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