lazograf Goto Github PK

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

epftoolbox

An open-access benchmark and toolbox for electricity price forecasting

filling

:exclamation: This is a read-only mirror of the CRAN R package repository. filling — Matrix Completion, Imputation, and Inpainting Methods

forecast

forecast package for R

gluonts

Probabilistic time series modeling in Python

interpret

Fit interpretable models. Explain blackbox machine learning.

keras

Deep Learning for humans

lassonet

Feature selection in neural networks

lazograf.github.io

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.

mapie

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

merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

mlforecast

Scalable machine 🤖 learning for time series forecasting.

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

nixtla

Python SDK for TimeGPT

nodegam

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

pyflux

Open source time series library for Python

pyportfolioopt

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

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.

python

All Algorithms implemented in Python

python_projects

r_projects

sage

For calculating global feature importance using Shapley values.

shap

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

shapr

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

sktime

A unified framework for machine learning with time series