Pinned Repositories
CatBoostLSS
An extension of CatBoost to probabilistic modelling
causalai
Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
ConvTS-Mixer
Time Series Extension of "Patches Are All You Need"
DGBM
Distributional Gradient Boosting Machines
ForecastPFN
GPBoost
GPBoost is a software library for combining tree-boosting with Gaussian process and mixed effects models
Hyper-Trees
Forecasting with Hyper-Trees
LightGBMLSS
An extension of LightGBM to probabilistic modelling
Py-BoostLSS
An extension of Py-Boost to probabilistic modelling
XGBoostLSS
An extension of XGBoost to probabilistic modelling
StatMixedML's Repositories
StatMixedML/XGBoostLSS
An extension of XGBoost to probabilistic modelling
StatMixedML/LightGBMLSS
An extension of LightGBM to probabilistic modelling
StatMixedML/CatBoostLSS
An extension of CatBoost to probabilistic modelling
StatMixedML/Hyper-Trees
Forecasting with Hyper-Trees
StatMixedML/ConvTS-Mixer
Time Series Extension of "Patches Are All You Need"
StatMixedML/causalai
Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
StatMixedML/ForecastPFN
StatMixedML/StatMixedML
StatMixedML/Lightgbm-monotone-quantile
Multiple quantiles estimation model maintaining non-crossing condition or monotone quantioe condition using Lightgbm
StatMixedML/pytorch-tsmixer
A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.
StatMixedML/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
StatMixedML/SimTS_Representation_Learning
StatMixedML/spacetime
Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.
StatMixedML/Time-Series-Library
A Library for Advanced Deep Time Series Models.
StatMixedML/CoInception
StatMixedML/Cross-Reconstruction-Transformer
The official implementation for our TNNLS paper "Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer".
StatMixedML/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
StatMixedML/Dish-TS
Time Series Forecasting, Distribution Shift
StatMixedML/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.
StatMixedML/Hierarchical_Survival_Analysis
StatMixedML/LLM4TS
Large Language Models for Time Series.
StatMixedML/ngboost
Natural Gradient Boosting for Probabilistic Prediction
StatMixedML/normalizing_flows
PyTorch implementation of normalizing flow models
StatMixedML/pyro
Deep universal probabilistic programming with Python and PyTorch
StatMixedML/SurvTRACE
SurvTRACE: Transformers for Survival Analysis with Competing Events
StatMixedML/TDSTF
StatMixedML/temporian
Temporian is an open-source Python library for preprocessing ⚡ and feature engineering 🛠 temporal data 📈 for machine learning applications 🤖
StatMixedML/torchsurv
Deep survival analysis made easy
StatMixedML/tsfm
Foundation Models for Time Series
StatMixedML/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.