Alternatives and similar repositories for Time-Series-Forecasting-:

Users that are interested in Time-Series-Forecasting- are comparing it to the libraries listed below

• eshaan90 / iot-analytics
  Machine Learning Projects on IOT sensor data
  ☆9Updated 5 years ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆21Updated 5 years ago
• firmai / DeepLearningForTimeSeriesForecasting
  A tutorial demonstrating how to implement deep learning models for time series forecasting
  ☆12Updated 5 years ago
• rakshita95 / DeepLearning-time-series
  LSTM for time series forecasting
  ☆28Updated 7 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• grananqvist / Machine-Learning-Algorithms-Numpy
  Implementations of Machine Learning algorithms using only numpy with visualizations
  ☆16Updated 6 years ago
• tomonori-masui / time-series-forecasting
  Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet
  ☆24Updated 3 months ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆35Updated 7 years ago
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• yrbszhsh / Principles-of-Artificial-Intelligence-Learning-Algorithms
  My work on UCSD CSE 250B Principles of Artificial Intelligence: Learning Algorithms
  ☆13Updated 5 years ago
• KevinFasusi / supplychainpy_notebooks
  Jupyter Notebooks for supplychainpy
  ☆22Updated 7 years ago
• ngaiyin1760 / Cluster-analysis-for-stock-selection
  See how cluster analysis help us to get rid of the sea of financial metrics during portfolio construction
  ☆13Updated 4 years ago
• kperry2215 / change_point_detection
  Examples of online and offline changepoint detection using the ruptures and changefinder packages
  ☆53Updated 5 years ago
• firmai / ml-fairness-framework
  FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
  ☆71Updated 3 years ago
• HamishWoodrow / anomaly_detection
  This is a times series anomaly detection algorithm, implemented in Python, for catching multiple anomalies. It uses a moving average wit…
  ☆63Updated 6 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 5 years ago
• amunategui / CVAE-Financial-Anomaly-Detection
  ☆24Updated 6 years ago
• PacktPublishing / Practical-Time-Series-Analysis-V-
  Practical Time Series Analysis (V), published by Packt
  ☆13Updated 4 years ago
• johntwk / Python-ML-rolling-grid-search
  Hyperparameter tuning and rolling time-series forecast for machine learning models
  ☆17Updated 7 years ago
• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆62Updated 4 years ago
• sarincr / Time-series-analysis-using-Python
  Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics…
  ☆33Updated 5 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆100Updated 6 years ago
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• matrix-profile-foundation / article-matrix-profile-intro
  This is a supporting repository for the journal article https://towardsdatascience.com/introduction-to-matrix-profiles-5568f3375d90.
  ☆26Updated 4 years ago
• KunalArora / kaggle-m5-forecasting
  Time-Series forecasting using Stats models, LightGBM & LSTM
  ☆37Updated 4 years ago
• lovvge / Forecasting-Tutorials
  ☆23Updated 3 years ago
• firmai / python-for-finance
  ☆14Updated 5 years ago
• tirthajyoti / mlr
  Multiple linear regression with statistical inference, residual analysis, direct CSV loading, and other features
  ☆33Updated 5 years ago
• PYFTS / notebooks
  Code examples for pyFTS
  ☆50Updated 5 years ago