Alternatives and similar repositories for DeepLearningForTimeSeriesForecasting:

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

• LongxingTan / Time-series-prediction
  tfts: Time Series Deep Learning Models in TensorFlow
  ☆835Updated this week
• jingw2 / demand_forecast
  ☆456Updated last year
• JEddy92 / TimeSeries_Seq2Seq
  This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series for…
  ☆606Updated 5 years ago
• arrigonialberto86 / deepar
  Tensorflow implementation of Amazon DeepAR
  ☆306Updated 3 years ago
• shunyaoshih / TPA-LSTM
  Temporal Pattern Attention for Multivariate Time Series Forecasting
  ☆705Updated 6 years ago
• zhykoties / TimeSeries
  Implementation of deep learning models for time series in PyTorch.
  ☆379Updated 4 years ago
• Mcompetitions / M4-methods
  Data, Benchmarks, and methods submitted to the M4 forecasting competition
  ☆757Updated 4 years ago
• philipperemy / n-beats
  Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
  ☆869Updated last year
• Mcompetitions / M5-methods
  Data, Benchmarks, and methods submitted to the M5 forecasting competition
  ☆595Updated last year
• advaitsave / Introduction-to-Time-Series-forecasting-Python
  Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast eva…
  ☆320Updated 6 years ago
• laiguokun / LSTNet
  ☆673Updated last year
• Jenniferz28 / Time-Series-ARIMA-XGBOOST-RNN
  Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
  ☆681Updated 5 years ago
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆318Updated 5 years ago
• cuge1995 / awesome-time-series
  list of papers, code, and other resources
  ☆977Updated 6 months ago
• KDD-OpenSource / DeepADoTS
  Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
  ☆574Updated 2 years ago
• jiwidi / time-series-forecasting-with-python
  A use-case focused tutorial for time series forecasting with python
  ☆657Updated last year
• fbadine / LSTNet
  A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper
  ☆172Updated 2 years ago
• Alro10 / deep-learning-time-series
  List of papers, code and experiments using deep learning for time series forecasting
  ☆2,643Updated 10 months ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆597Updated 5 months ago
• zhangxu0307 / time_series_forecasting_pytorch
  time series forecasting using pytorch，including ANN,RNN,LSTM,GRU and TSR-RNN，experimental code
  ☆384Updated 5 years ago
• Zhenye-Na / DA-RNN
  📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
  ☆422Updated 4 years ago
• albertogaspar / dts
  A Keras library for multi-step time-series forecasting.
  ☆176Updated last year
• AutoViML / Auto_TS
  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…
  ☆745Updated 4 months ago
• microsoft / anomalydetector
  SR-CNN
  ☆257Updated 2 years ago
• bighuang624 / Time-Series-Papers
  List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法
  ☆476Updated 5 years ago
• pyaf / load_forecasting
  Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models
  ☆517Updated 2 months ago
• mattsherar / Temporal_Fusion_Transform
  Pytorch Implementation of Google's TFT
  ☆249Updated 4 years ago
• Daniela-Shereen / GBRT-for-TSF
  ☆197Updated last year
• pedrolarben / TimeSeriesForecasting-DeepLearning
  An experiemtal review on deep learning architectures for time series forecasting
  ☆139Updated 3 years ago