Alternatives and similar repositories for google-brain-ventilator:

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

• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆89Updated last year
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆66Updated last year
• Y-oHr-N / OptGBM
  Optuna + LightGBM = OptGBM
  ☆35Updated 2 years ago
• jxx123 / fireTS
  A python multi-variate time series prediction library working with sklearn
  ☆94Updated 4 years ago
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆70Updated 3 years ago
• supsi-dacd-isaac / mbtr
  Multivariate Boosted TRee
  ☆62Updated 2 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆62Updated 3 weeks 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.
  ☆64Updated last month
• ahmed-mohamed-sn / ATgfe
  Automated Transparent Genetic Feature Engineering
  ☆22Updated last year
• callmeBalloch / google-brain-ventilator-pressure-prediction
  ☆27Updated 3 years ago
• microprediction / m6
  M6-Forecasting competition
  ☆41Updated last year
• ceshine / quantile-regression-tensorflow
  Implementations of Quantile Regression
  ☆28Updated 6 years ago
• david26694 / sktools
  Helpers for scikit learn
  ☆16Updated 2 years ago
• btrotta / kaggle-m5
  Top 3% solution for Kaggle M5 Accuracy competition
  ☆23Updated 4 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 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 2 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 7 months ago
• edublancas / ml-testing
  🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects
  ☆81Updated 3 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• cpa-analytics / embedding-encoder
  Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
  ☆42Updated 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
• marisakamozz / m5
  Kaggle M5 Forecasting - Uncertainty 4th Place Solution
  ☆31Updated 2 years ago
• AutoViML / deep_autoviml
  Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…
  ☆121Updated 10 months ago
• ben-arnao / StoRM
  A neural network hyper parameter tuner
  ☆30Updated last year
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆61Updated last year
• zedshape / zgrouping
  ☆23Updated 2 years ago
• microsoft / CBM
  Cyclic Boosting Machines - an explainable supervised machine learning algorithm
  ☆60Updated 6 months ago
• puhsu / tabular-dl-pretrain-objectives
  Revisiting Pretrarining Objectives for Tabular Deep Learning
  ☆63Updated 2 years ago
• rasbt / 2021-pydata-jeddah
  Materials for "Transformers from the Ground Up" at PyData Jeddah on August 5, 2021
  ☆18Updated 3 years ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago