Alternatives and similar repositories for yandex-shifts-weather

Users that are interested in yandex-shifts-weather are comparing it to the libraries listed below

• HolyBayes / klcpd
  PyTorch package for KL-CPD algorithm for change point and anomaly detection in time series
  ☆13Updated 4 years ago
• HSE-LAMBDA / roerich
  Change point detection
  ☆69Updated last year
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆19Updated 2 years ago
• h3ik0th / ES_energy_Transformer
  Python Darts deep forecasting models
  ☆33Updated 3 years ago
• ITMO-NSS-team / fedot_electro_ts_case
  The sources of the time-series forecasting real-world case with FEDOT.
  ☆18Updated 2 years ago
• fmorenopino / SAAM
  Spectral Attention Autoregressive Model (SAAM)
  ☆15Updated 2 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• yandex-research / GBDT-uncertainty
  ☆57Updated last year
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆74Updated 7 months ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• KurochkinAlexey / Self-boosted-Time-series-Forecasting
  Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181…
  ☆31Updated 5 years ago
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆22Updated 2 years ago
• reml-lab / hetvae
  Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series
  ☆32Updated 2 years ago
• YoungseogChung / calibrated-quantile-uq
  Training quantile models
  ☆42Updated 6 months ago
• tetrzim / robust-probabilistic-forecasting
  ☆37Updated 3 years ago
• Ennosigaeon / auto-sktime
  ☆19Updated last year
• Abdulmajid-Murad / deep_probabilistic_forecast
  PyTorch implementation of probabilistic deep forecast applied to air quality.
  ☆25Updated 3 years ago
• Rose-STL-Lab / Spatiotemporal_UQ
  Uncertainty Quantification for Deep Spatiotemporal Forecasting
  ☆22Updated 9 months ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• pratham16cse / AggForecaster
  Code for "Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts", IJCAI 2022
  ☆18Updated 3 years ago
• smallGum / MLCNN-Multivariate-Time-Series
  Codes for Multi-Level Construal Neural Network framework
  ☆48Updated 4 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• philipdarke / torchtime
  Benchmark time series data sets for PyTorch
  ☆35Updated last year
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆73Updated this week
• FelixdenBreejen / TabForestPFN
  ☆46Updated 9 months ago
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆34Updated 4 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆46Updated last year
• akashmondal1810 / UncertaintyEstimation
  Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
  ☆22Updated 4 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆67Updated 3 years ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆63Updated 2 years ago