Alternatives and similar repositories for deep-ttf

Users that are interested in deep-ttf are comparing it to the libraries listed below

• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆222Updated 6 years ago
• ragulpr / wtte-rnn
  WTTE-RNN a framework for churn and time to event prediction
  ☆780Updated 5 years ago
• eltonlaw / impyute
  Data imputations library to preprocess datasets with missing data
  ☆360Updated 4 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• Oracen-zz / MIDAS
  Multiple imputation utilising denoising autoencoder for approximate Bayesian inference
  ☆122Updated 5 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆244Updated 5 years ago
• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆68Updated 7 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆205Updated 5 years ago
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆214Updated 2 years ago
• AustinRochford / PyCEbox
  ⬛ Python Individual Conditional Expectation Plot Toolbox
  ☆165Updated 5 years ago
• manifoldai / merf
  Mixed Effects Random Forest
  ☆238Updated last year
• EpistasisLab / scikit-rebate
  A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
  ☆420Updated 2 years ago
• numeristical / introspective
  Repo for the ML_Insights python package
  ☆153Updated 7 months ago
• ragulpr / wtte-rnn-examples
  Examples of implementations of WTTE-RNN
  ☆32Updated 7 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆580Updated 3 years ago
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆459Updated 3 weeks ago
• hamaadshah / autoencoders_tensorflow
  Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.
  ☆71Updated 2 years ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆228Updated 4 years ago
• NLeSC / mcfly
  A deep learning tool for time series classification and regression
  ☆365Updated 3 months ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆201Updated last year
• scikit-learn-contrib / forest-confidence-interval
  Confidence intervals for scikit-learn forest algorithms
  ☆290Updated 7 months ago
• kearnz / autoimpute
  Python package for Imputation Methods
  ☆251Updated last year
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆484Updated this week
• MaxHalford / xam
  Personal data science and machine learning toolbox
  ☆366Updated 5 years ago
• damitkwr / ESRNN-GPU
  PyTorch GPU implementation of the ES-RNN model for time series forecasting
  ☆319Updated 6 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆288Updated last year
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated 2 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆116Updated 7 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆94Updated 11 years ago