Alexander März (StatMixedML)

StatMixedML

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Location:Germany (Bavaria)

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Alexander März's repositories

XGBoostLSS

An extension of XGBoost to probabilistic modelling

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LightGBMLSS

An extension of LightGBM to probabilistic modelling

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CatBoostLSS

An extension of CatBoost to probabilistic modelling

Hyper-Trees

Forecasting with Hyper-Trees

ConvTS-Mixer

Time Series Extension of "Patches Are All You Need"

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causalai

Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data

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Lightgbm-monotone-quantile

Multiple quantiles estimation model maintaining non-crossing condition or monotone quantioe condition using Lightgbm

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pytorch-tsmixer

A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.

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SimMTM

About Code release for "SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling" (NeurIPS 2023 Spotlight), https://arxiv.org/abs/2302.00861

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spacetime

Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.

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Time-Series-Library

A Library for Advanced Deep Time Series Models.

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Cross-Reconstruction-Transformer

The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer".

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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Dish-TS

Time Series Forecasting, Distribution Shift

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github-pages-deploy-action

🚀 Automatically deploy your project to GitHub Pages using GitHub Actions. This action can be configured to push your production-ready code into any branch you'd like.

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LLM4TS

Large Language Models for Time Series.

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ngboost

Natural Gradient Boosting for Probabilistic Prediction

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normalizing_flows

PyTorch implementation of normalizing flow models

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pyro

Deep universal probabilistic programming with Python and PyTorch

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SurvTRACE

SurvTRACE: Transformers for Survival Analysis with Competing Events

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temporian

Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖

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torchsurv

Deep survival analysis made easy

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tsfm

Foundation Models for Time Series

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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