Alternatives and similar repositories for ES-RNN-Pytorch

Users that are interested in ES-RNN-Pytorch are comparing it to the libraries listed below

• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 5 years ago
• zalandoresearch / probrnn
  State space modeling with recurrent neural networks
  ☆45Updated 7 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• hrayrhar / T-CorEx
  Implementation of linear CorEx and temporal CorEx.
  ☆37Updated 3 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• octoenergy / timeserio
  Better `keras` models for time series and beyond
  ☆61Updated last year
• ceshine / recurrent-dropout-experiments
  ☆16Updated 5 years ago
• MSRDL / Deep4Cast
  Probabilistic Multivariate Time Series Forecast using Deep Learning
  ☆96Updated 5 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• suriyadeepan / BayesianML
  Experiments in Bayesian Machine Learning
  ☆69Updated 6 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• BorgwardtLab / PyChange
  Multiple change detection with python
  ☆23Updated 6 years ago
• diogo149 / CauseEffectPairsChallenge
  ☆17Updated 11 years ago
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 7 years ago
• Zymrael / wattnet-fx-trading
  WATTNet: Learning to Trade FX with Hierarchical Spatio-Temporal Representations of Highly Multivariate Time Series
  ☆73Updated 4 years ago
• jehangiramjad / tslib
  Time Series Forecasting and Imputation
  ☆48Updated 3 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 7 years ago
• zli37 / bayesianRuleSet
  Using Bayesian inference to mine rule sets
  ☆12Updated 5 years ago
• oguiza / Practical-Deep-Learning-Applied-to-Time-Series
  Practical Deep Learning resources for Time series analysis and forecasting
  ☆85Updated 3 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆71Updated 3 years ago
• chlubba / op_importance
  Compute set of important operations for HCTSA code
  ☆26Updated 5 years ago
• scikit-learn-contrib / mimic
  mimic calibration
  ☆21Updated 5 years ago
• mwestt / An-Introduction-to-Bayesian-Inference-in-PyStan
  Code for blog post on Bayesian inference in PyStan
  ☆20Updated 4 years ago
• mb4310 / Time-Series
  The purpose of this repo is to implement & analyze various deep learning and hybrid approaches to time-series classification and regressi…
  ☆39Updated 6 years ago
• david10e10 / High-Dim-TS-Medium
  Deep Learning for High-Dimensional Time Series
  ☆22Updated 5 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆51Updated 3 years ago