Alternatives and similar repositories for web-traffic-time-series-forecasting

Users that are interested in web-traffic-time-series-forecasting are comparing it to the libraries listed below

• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆35Updated 7 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• PGuti / Uplift
  About uplift modeling
  ☆30Updated 8 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 years ago
• rupakc / Kaggle-Compendium
  Baseline Python Scripts for Popular Kaggle Competitions
  ☆17Updated 2 years ago
• jianzhu / dl-rerank
  ☆11Updated 5 years ago
• DeepWisdom / AutoSeries2019
  ☆18Updated 5 years ago
• ppontisso / Extreme-Multi-Label-Classification
  Introduction Notebook to Extreme Multi-Label Classification problem (XML)
  ☆22Updated 6 years ago
• augboost-anon / augboost
  Gradient Boosting Enhanced with Step-Wise Feature Augmentation
  ☆16Updated 4 years ago
• antklen / kaggle_favorita-grocery-sales
  12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting
  ☆15Updated 7 years ago
• IoannisNasios / M5_Uncertainty_3rd_place
  M5 Uncertainty kaggle competition, 3rd place solution
  ☆39Updated last year
• Willofd101 / ziln_cltv
  A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)
  ☆27Updated last year
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 4 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 5 years ago
• ceshine / favorita_sales_forecasting
  Solution to Corporación Favorita Grocery Sales Forecasting Competition
  ☆28Updated 7 years ago
• aws-samples / amazon-sagemaker-forecast-algorithms-benchmark-using-gluonts
  This repository contains the sample code to benchmark popular time series forecast algorithms using Gluonts in AWS Sagemaker Notebook Ins…
  ☆11Updated 3 years ago
• stasi009 / DataScienceCodes
  codes collection for ML/DL/RL/BigData projects
  ☆24Updated 6 years ago
• louis925 / kaggle-web-traffic-time-series-forecasting
  Solution to Kaggle - Web Traffic Time Series Forecasting
  ☆34Updated 5 years ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 8 years ago
• leanderloew / ES-RNN-Pytorch
  This is a work in progress Pytorch implementation of the recently proposed ES-RNN by Slawek Smyl, winner of the M4 competition
  ☆12Updated 6 years ago
• naomifridman / Deep-VAE-prediction-of-churn-customer
  Variational deep autoencoder to predict churn customer
  ☆29Updated 7 years ago
• DeepBlueAI / AutoSeries
  ☆15Updated 5 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 8 years ago
• maciejkula / mixture
  ☆27Updated 7 years ago
• aerdem4 / rapids-kaggle-utils
  High level utility functions for using Rapids on Kaggle Competitions
  ☆28Updated 5 years ago
• DeepBlueAI / AutoNLP
  ☆28Updated 5 years ago
• gabrielspmoreira / kaggle_outbrain_click_prediction_google_cloud_ml_engine
  A POC of Google's Wide & Deep Learning models deployed on Google Cloud ML Engine for Kaggle's Outbrain Click Competition
  ☆36Updated 7 years ago
• tlatkowski / neural-recommender
  Neural recommender system implementation in TensorFlow.
  ☆15Updated 2 years ago
• goodmattg / quora_kaggle
  Storage for Kaggle Quora competition
  ☆16Updated 8 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago