Alternatives and similar repositories for AutoML_Alex

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

• DenisVorotyntsev / CategoricalEncodingBenchmark
  Benchmarking different approaches for categorical encoding for tabular data
  ☆174Updated 3 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• ctlab / ITMO_FS
  Feature selection library in python
  ☆146Updated 6 months ago
• guitarmind / kaggle_moa_winner_hungry_for_gold
  Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.
  ☆123Updated 3 years ago
• sberbank-ai-lab / AutoMLWhitebox
  Tool for whitebox (binning + logreg) model development
  ☆77Updated 3 years ago
• mgrankin / fast_tabnet
  TabNet for fastai
  ☆124Updated 4 months ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 6 years ago
• SylwiaOliwia2 / xgboost-AutoTune
  Wrap-up to automatically tune xgboost in Python.
  ☆81Updated 4 years ago
• cod3licious / autofeat
  Linear Prediction Model with Automated Feature Engineering and Selection Capabilities
  ☆537Updated last month
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆217Updated last year
• titu1994 / tf-TabNet
  A Tensorflow 2.0 implementation of TabNet.
  ☆245Updated 2 years ago
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆92Updated 2 years ago
• ryancheunggit / Denoise-Transformer-AutoEncoder
  ☆352Updated 4 years ago
• h2oai / pystacknet
  ☆297Updated 3 years ago
• linkedin / FastTreeSHAP
  Fast SHAP value computation for interpreting tree-based models
  ☆553Updated 2 years ago
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆518Updated 5 years ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆232Updated 4 years ago
• ybabakhin / kaggle-skeleton
  Initial skeleton for ML competitions
  ☆13Updated 7 years ago
• AutoViML / Auto_ViML
  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…
  ☆546Updated last year
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆139Updated 11 months ago
• sberbank-ai-lab / LightAutoML
  LAMA - automatic model creation framework
  ☆925Updated 3 years ago
• LocalCascadeEnsemble / LCE
  Random Forest or XGBoost? It is Time to Explore LCE
  ☆70Updated 2 years ago
• KaveIO / PhiK
  Phi_K correlation analyzer library
  ☆172Updated 3 weeks ago
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆169Updated 5 years ago
• shaz13 / katana
  Katana project is a FastAPI template for ASAP 🚀 ML API deployment
  ☆113Updated 2 years ago
• ryancheunggit / tabular_dae
  ☆54Updated 3 years ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆856Updated 11 months 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 …
  ☆108Updated 3 years ago
• TomerRonen34 / treeboost_autograd
  Easy Custom Losses for Tree Boosters using Pytorch
  ☆35Updated 4 years ago
• bits-bytes-nn / gauss-rank-scaler
  Scikit-learn compatible implementation of the Gauss Rank scaling method
  ☆75Updated 2 years ago