Alternatives and similar repositories for google-brain-ventilator

Users that are interested in google-brain-ventilator are comparing it to the libraries listed below

• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated last year
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆90Updated last year
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆70Updated 3 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 3 months ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 4 months ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• supsi-dacd-isaac / mbtr
  Multivariate Boosted TRee
  ☆63Updated 2 years ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• Swiggy / Moo-GBT
  Library for Multi-objective optimization in Gradient Boosted Trees
  ☆77Updated 10 months ago
• cerlymarco / keras-hypetune
  A friendly python package for Keras Hyperparameters Tuning based only on NumPy and hyperopt.
  ☆61Updated 3 years ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆94Updated 4 years ago
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 4 years ago
• btrotta / kaggle-m5
  Top 3% solution for Kaggle M5 Accuracy competition
  ☆23Updated 4 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• Y-oHr-N / OptGBM
  Optuna + LightGBM = OptGBM
  ☆35Updated 2 years ago
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆106Updated 3 years ago
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆52Updated 2 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• AlxndrMlk / talks-and-workshops
  Materials for conference talks and workshops
  ☆31Updated last month
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• marisakamozz / m5
  Kaggle M5 Forecasting - Uncertainty 4th Place Solution
  ☆32Updated 2 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆21Updated 5 years ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated last year
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆41Updated last year
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆61Updated 9 months ago
• donlnz / morfist
  Multi-target Random Forest implementation that can mix both classification and regression tasks
  ☆26Updated 5 years ago
• samarth-agrawal-86 / fast_ml
  ☆20Updated last year
• Shivanandroy / CategoricalEmbedder
  Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks
  ☆25Updated 5 years ago