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

• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• antklen / kaggle_favorita-grocery-sales
  12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting
  ☆15Updated 7 years ago
• louis925 / kaggle-web-traffic-time-series-forecasting
  Solution to Kaggle - Web Traffic Time Series Forecasting
  ☆34Updated 5 years ago
• Sarunas-Girdenas / neural_decomposition
  Neural Decomposition Code for Time Series
  ☆21Updated 6 years ago
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆36Updated 7 years ago
• maciejkula / mixture
  ☆27Updated 7 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• jianzhu / dl-rerank
  ☆11Updated 5 years ago
• philipperemy / keras-snail-attention
  SNAIL Attention Block for Keras.
  ☆16Updated 5 years ago
• yu-iskw / auto-sklearn-examples
  auto-sklearn examples on Jupyter notebooks
  ☆13Updated 8 years ago
• PGuti / Uplift
  About uplift modeling
  ☆30Updated 8 years ago
• ceshine / favorita_sales_forecasting
  Solution to Corporación Favorita Grocery Sales Forecasting Competition
  ☆28Updated 7 years ago
• ts302team / KDDCUP2019-AutoMLTrack
  The ts302_team final solution to the KDD CUP 2019 AutoML Track problem.
  ☆15Updated 5 years ago
• criteo / CriteoDisplayCTR-TFOnSpark
  ☆27Updated 3 years ago
• shuyao95 / kddcup2019-automl
  Code for KDD CUP 2019 Auto-ML track
  ☆21Updated 5 years ago
• btrotta / kaggle-favorita
  Code for top 3% result in the Kaggle Corporacion Favorita Grocery Sales Forecasting competition.
  ☆17Updated 7 years ago
• chaitanya-m / kdd2018
  Files submitted to kdd2018 for EFDT paper
  ☆22Updated 6 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• DeepWisdom / AutoSeries2019
  ☆18Updated 5 years ago
• IoannisNasios / M5_Uncertainty_3rd_place
  M5 Uncertainty kaggle competition, 3rd place solution
  ☆39Updated 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
• aerdem4 / rapids-kaggle-utils
  High level utility functions for using Rapids on Kaggle Competitions
  ☆28Updated 5 years ago
• ppontisso / Extreme-Multi-Label-Classification
  Introduction Notebook to Extreme Multi-Label Classification problem (XML)
  ☆22Updated 6 years ago
• Trigram19 / m5-python-starter
  Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.
  ☆22Updated 5 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 6 years ago
• augboost-anon / augboost
  Gradient Boosting Enhanced with Step-Wise Feature Augmentation
  ☆16Updated 4 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆66Updated 2 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 5 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago