Alternatives and similar repositories for Deep-VAE-prediction-of-churn-customer:

Users that are interested in Deep-VAE-prediction-of-churn-customer are comparing it to the libraries listed below

• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• patternedscience / time-series-tf-serving
  Seq2seq Model on Time-series Data: Training and Serving with TensorFlow
  ☆21Updated 5 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 5 years ago
• fehiepsi / web-traffic-time-series-forecasting
  kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting
  ☆16Updated 7 years ago
• dlegor / rad
  Implementation of Robust PCA and Robust Deep Autoencoder over Time Series
  ☆14Updated 4 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆86Updated 6 years ago
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 6 years ago
• AdaptiveMachineLearning / artml
  ARTML- Real time learning
  ☆21Updated 5 years ago
• carloschavez9 / ensemble-time-series
  Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…
  ☆35Updated 7 years ago
• maxsxu / MTSAnomalyDetection
  Multidimensional Time Series Anomaly Detection
  ☆27Updated 7 years ago
• drivendataorg / power-laws-cold-start
  ☆22Updated last year
• mridulnagpal / ensembeTimeSeries
  Ensemble of ARIMA, prophet and LSTMS RNN
  ☆35Updated 7 years ago
• NervanaSystems / aidc-2018-timeseries
  Deep learning for time-series data
  ☆49Updated 2 years ago
• yashu-seth / pytorch-tabular
  A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.
  ☆67Updated 5 years ago
• lp-dataninja / SparkML
  Detailed notes and code to learn machine learning with Apache Spark.
  ☆13Updated 6 years ago
• codyznash / GANs_for_Credit_Card_Data
  ☆106Updated last year
• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆62Updated 4 years ago
• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆32Updated 7 years ago
• jimmycy93 / Credit-Card-Fraud-Detection
  A project on machine learning techniques dealing with imbalanced classification (Python)
  ☆11Updated 7 years ago
• cavaunpeu / flight-delays
  Transfer learning for flight-delay prediction via variational autoencoders in Keras
  ☆34Updated 7 years ago
• cran2367 / lstm_autoencoder_classifier
  An LSTM Autoencoder for rare event classification
  ☆108Updated 5 years ago
• mihirk11 / Movie-recommendation-system-using-Bayesian-Network
  Movie recommendation system based on movielens dataset. Bayesian approach used to predict likely rating of the movie
  ☆12Updated 8 years ago
• toshi-k / kaggle-bosch-production-line-performance
  57th place solution in "Bosch Production Line Performance"
  ☆19Updated 7 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• ceshine / favorita_sales_forecasting
  Solution to Corporación Favorita Grocery Sales Forecasting Competition
  ☆28Updated 7 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆52Updated 4 years ago
• bits-bytes-nn / mofc-demand-forecast
  Time Series Forecasting for the M5 Competition
  ☆41Updated 3 years ago
• bgokden / anomaly-detection-with-autoencoders
  Anamoly Detection with Autoencoders - Credit Card Fraud Case
  ☆16Updated 4 years ago
• rupakc / Kaggle-Compendium
  Baseline Python Scripts for Popular Kaggle Competitions
  ☆17Updated 2 years ago
• khuangaf / Kaggle-Avito-NN
  The 18th Place Solution to Avito Demand Prediction Challenge
  ☆26Updated 5 years ago