Alexander März's repositories
XGBoostLSS
An extension of XGBoost to probabilistic modelling
LightGBMLSS
An extension of LightGBM to probabilistic modelling
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"
Lightgbm-monotone-quantile
Multiple quantiles estimation model maintaining non-crossing condition or monotone quantioe condition using Lightgbm
pytorch-tsmixer
A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.
Time-Series-Library
A Library for Advanced Deep Time Series Models.
Cross-Reconstruction-Transformer
The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer".
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Dish-TS
Time Series Forecasting, Distribution Shift
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.
LLM4TS
Large Language Models for Time Series.
normalizing_flows
PyTorch implementation of normalizing flow models
pyro
Deep universal probabilistic programming with Python and PyTorch
SurvTRACE
SurvTRACE: Transformers for Survival Analysis with Competing Events
temporian
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
torchsurv
Deep survival analysis made easy
tsfm
Foundation Models for Time Series
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.