Alternatives and similar repositories for neuralprophet-data

Users that are interested in neuralprophet-data are comparing it to the libraries listed below

• ourownstory / test-of-time
  A small framework to benchmark forecasting models via backtesting
  ☆12Updated last year
• hamrel-cxu / Ensemble-Regularized-Adaptive-Prediction-Set-ERAPS
  Official repository for the ICML 2022 DFUQ paper: conformal prediction sets for time-series
  ☆10Updated 2 years ago
• mirkosavasta / GANetano
  Generative Adversarial Network to create synthetic time series
  ☆23Updated 4 years ago
• tetrzim / robust-probabilistic-forecasting
  ☆37Updated 3 years ago
• DeepWisdom / AutoSeries2019
  ☆18Updated 5 years ago
• elephaint / hfas
  Hierarchical Forecasting at Scale
  ☆14Updated last year
• zahraatashgahi / ALACPD
  Change-point detection using neural networks
  ☆19Updated last year
• AlexTMallen / dpk
  Deep Probabilistic Koopman: long-term time-series forecasting under quasi-periodic uncertainty
  ☆23Updated 3 years ago
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• majianthu / transferentropy
  Code for the paper "Estimating Transfer Entropy via Copula Entropy"
  ☆42Updated 2 years ago
• midas-research / hyper-stockgat-www
  Code for Exploring the Scale-Free Nature of Stock Markets: Hyperbolic Graph Learning for Algorithmic Trading at WWW 2021
  ☆20Updated 4 years ago
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆79Updated last month
• DeepBlueAI / AutoSeries
  ☆15Updated 5 years ago
• jmarecek / OnlineLDS
  Source code for the AAAI 2019 paper "On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters" (https://arx…
  ☆19Updated 4 years ago
• yonxie / AdvFinTweet
  ☆22Updated 3 years ago
• elephaint / pedpf
  Parameter Efficient Deep Probabilistic Forecasting
  ☆14Updated 3 years ago
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• JingyiGu / IndexGAN
  Stock Broad-Index Trend Patterns Learning via Domain Knowledge Informed Generative Network
  ☆15Updated 4 months ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 2 years ago
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆23Updated 2 years ago
• zulucomputer / MES_LSTM
  A Hybrid Method of Exponential Smoothing and Recurrent Neural Networks for Multivariate Time Series Forecasting
  ☆13Updated 2 years ago
• mzaffran / AdaptiveConformalPredictionsTimeSeries
  ☆63Updated 3 years ago
• vcerqueira / vest
  Automatic Feature Engineering for Time Series
  ☆17Updated 2 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 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 5 years ago
• mulkkyul / lstm-initStates
  The PyTorch implementation of "Modeling Financial Time Series using LSTM with Trainable Initial Hidden States"
  ☆11Updated 5 years ago
• talsan / stock_news
  Collecting news articles for all the companies in the R1000, for a pre-defined set of news outlets, using Diffbot's Knowledge Graph
  ☆12Updated 2 years ago
• Quilograma / AEnbMIMOCQR
  ☆14Updated 2 years ago
• rian-dolphin / ICCBR2021-Financial-TS-Similarity
  This repository relates to the paper "Measuring Financial Time Series Similarity With a View to Identifying Profitable Stock Market Oppor…
  ☆21Updated 4 years ago
• boniolp / Theseus
  [VLDB 2022] Dash application for "Navigating the Labyrinth of Time Series Anomaly Detection"
  ☆24Updated 2 years ago