Alternatives and similar repositories for c2far_forecasting

Users that are interested in c2far_forecasting are comparing it to the libraries listed below

• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆85Updated 7 months ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆68Updated 3 years ago
• tetrzim / robust-probabilistic-forecasting
  ☆37Updated 3 years ago
• Neal-Liu-Ziyi / Concept_Drift_Handling
  ☆13Updated 2 years ago
• StatMixedML / Hyper-Trees
  Forecasting with Hyper-Trees
  ☆20Updated 5 months ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆28Updated 3 years ago
• seedatnabeel / SSCP
  SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)
  ☆17Updated 2 years ago
• pratham16cse / AggForecaster
  Code for "Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts", IJCAI 2022
  ☆18Updated 3 years ago
• salesforce / fsnet
  ☆124Updated 3 years ago
• hamrel-cxu / MultiDimSPCI
  Official implementation of "Conformal prediction for multi-dimensional time series by ellipsoidal sets" (ICML 2024 spotlight)
  ☆19Updated last year
• hamrel-cxu / EnbPI
  Official code for: Conformal prediction interval for dynamic time-series (conference, ICML 21 Long Presentation) AND Conformal prediction…
  ☆129Updated 2 years ago
• ServiceNow / TACTiS
  TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research
  ☆138Updated last year
• aangelopoulos / conformal-time-series
  Conformal prediction for time-series applications.
  ☆131Updated 2 years ago
• HerreraKrachTeichmann / NJODE
  code for "Neural Jump Ordinary Differential Equations"
  ☆30Updated 2 years ago
• sanatonek / time_series_explainability
  ☆62Updated 4 years ago
• abacusai / ForecastPFN
  ☆84Updated last year
• eth-siplab / Unsupervised_Periodicity_Detection
  Official code for ICML 2024 paper "An Unsupervised Approach for Periodic Source Detection in Time Series"
  ☆13Updated 10 months ago
• Rose-STL-Lab / CopulaCPTS
  Code for Copula conformal prediction paper (ICLR 2024)
  ☆31Updated last year
• YoungseogChung / calibrated-quantile-uq
  Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
  ☆44Updated last year
• zulucomputer / MES_LSTM
  A Hybrid Method of Exponential Smoothing and Recurrent Neural Networks for Multivariate Time Series Forecasting
  ☆13Updated 3 years ago
• abdulfatir / REDSDS
  Pytorch implementation of RED-SDS (NeurIPS 2021).
  ☆19Updated 4 years ago
• cgarciae / quantile-regression
  ☆22Updated 4 years ago
• salimamoukou / ACPI
  Adaptive Conformal Prediction Intervals (ACPI) is a Python package that enhances the Predictive Intervals provided by the split conformal…
  ☆30Updated 2 years ago
• bsouhaib / prob-hts
  Source code for Hierarchical Probabilistic Forecasting of Electricity Demand with Smart Meter Data by Ben Taieb, Souhaib, Taylor, James, …
  ☆10Updated 6 years ago
• haoyfan / SelfTime
  (Under Review)
  ☆69Updated 4 years ago
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆49Updated 3 years ago
• StijnVerdenius / Lat-PFN
  This work introduces LaT-PFN, a novel time series model that combines PFN and JEPA frameworks to generate zero-shot forecasts efficientl…
  ☆16Updated last year
• HazyResearch / spacetime
  Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.
  ☆178Updated 2 years ago
• hamrel-cxu / SPCI-code
  Official implementation of the ICML 2023 work "Sequential Predictive Conformal Inference"
  ☆33Updated last year