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
Py-BoostLSS
An extension of Py-Boost to probabilistic modelling
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.
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.
ngboost
Natural Gradient Boosting for Probabilistic Prediction
normalizing_flows
PyTorch implementation of normalizing flow models
PaddleSpatial
PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.
pyro
Deep universal probabilistic programming with Python and PyTorch
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
temporian
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
tsfm
Foundation Models for Time Series
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.