Alternatives and similar repositories for autoencoders_tensorflow

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

• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• fukatani / stacked_generalization
  Library for machine learning stacking generalization.
  ☆117Updated 6 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆86Updated 6 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆208Updated 4 years ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated last year
• analyticsvidhya / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆80Updated 7 years ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆222Updated 4 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• lacava / few
  a feature engineering wrapper for sklearn
  ☆51Updated 4 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 5 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆67Updated 7 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆121Updated 5 years ago
• dkn22 / embedder
  Embed categorical variables via neural networks.
  ☆59Updated 2 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆112Updated 7 years ago
• zygmuntz / adversarial-validation
  Creating a better validation set when test examples differ from training examples
  ☆101Updated 8 years ago
• navicto / Discretization-MDLPC
  Discretization with Fayyad and Irani's minimum description length principle criterion (MDLPC)
  ☆60Updated 6 years ago
• oguiza / Practical-Deep-Learning-Applied-to-Time-Series
  Practical Deep Learning resources for Time series analysis and forecasting
  ☆85Updated 3 years ago
• minerva-ml / steppy-toolkit
  Curated set of transformers that make your work with steppy faster and more effective
  ☆22Updated 6 years ago
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 4 years ago
• kaz-Anova / py_ml_utils
  Some small utility modules to help with pandas, numpy and sklearn usage in other projects
  ☆22Updated 10 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated last year
• erlendd / covariate-shift-adaption
  An example of using a discriminator to correct for a difference in the distributions between the training and test data.
  ☆67Updated 8 years ago
• partofthething / ace
  Python package for performing the Alternating Conditional Expectation (ACE) regression
  ☆71Updated 2 years ago
• manifoldai / mf-eng-public
  ☆51Updated 6 years ago
• franck-durand / tsboost
  Time Series Forecasting Framework
  ☆41Updated 2 years ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆52Updated 2 years ago