Alternatives and similar repositories for forecast:

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

• cauchyturing / Deconv_SAX
  Representation Learning with Deconvolutional Networks for Multivariate Time Series
  ☆12Updated 8 years ago
• big-data-lab-umbc / ensemble_causality_learning
  ☆10Updated 4 years ago
• csinva / disentangled-attribution-curves
  Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
  ☆27Updated 4 years ago
• googleinterns / local_global_ts_representation
  ☆22Updated 3 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆22Updated 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 5 years ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆26Updated 2 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 5 years ago
• KurochkinAlexey / Recurrent-neural-processes
  Pytorch implementation of Recurrent Neural Processes https://arxiv.org/pdf/1906.05915.pdf
  ☆21Updated 5 years ago
• autonlab / esrnn
  Hybrid ES-RNN models for time series forecasting
  ☆19Updated 3 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆10Updated 5 years ago
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 3 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 3 years ago
• IntelLabs / TSAD-Evaluator
  Intel Labs open source repository for time series anomaly detection evaluator
  ☆42Updated 4 months ago
• lightlightdyy / Deep-Learning-and-Causal-Inference
  ☆29Updated 6 years ago
• neuralprophet / neural_prophet_lightning
  ☆9Updated 3 years ago
• jsyoon0823 / Clairvoyance
  Codebase for "Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series"
  ☆13Updated 4 years ago
• andruekonst / egbm-gam
  A straightforward implementation of EGBM-based Generalized Additive Model
  ☆13Updated 4 years ago
• bperezorozco / ordinal_tsf
  ☆29Updated 5 years ago
• vcerqueira / vest
  Automatic Feature Engineering for Time Series
  ☆17Updated 2 years ago
• shlizee / TimeAwarePC
  A python package for finding causal functional connectivity from neural time series observations.
  ☆16Updated 3 months ago
• jambo6 / online-neural-cdes
  Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
  ☆38Updated 2 years ago
• polsys / ennemi
  Easy Nearest Neighbor Estimation of Mutual Information
  ☆37Updated 5 months ago
• glennq / tga
  Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
  ☆23Updated 9 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
• alan-turing-institute / rbocpdms
  Robust bayesian online changepoint detection with model selection
  ☆23Updated 6 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• nla-group / ABBA-LSTM
  ☆15Updated 2 years ago
• rtavenar / keras_shapelets
  Efficient implementation of Learning Time-Series Shapelets using keras
  ☆25Updated 7 years ago