Alternatives and similar repositories for openml-tutorial

Users that are interested in openml-tutorial are comparing it to the libraries listed below

• PacktPublishing / Hands-On-Explainable-AI-XAI-with-Python
  Explainable AI with Python, published by Packt
  ☆165Updated last month
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆91Updated 2 years ago
• PacktPublishing / Applied-Machine-Learning-Explainability-Techniques
  Applied Machine Learning Explainability Techniques, published by Packt
  ☆248Updated last month
• Deffro / Data-Science-Portfolio
  This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…
  ☆84Updated last year
• atif-hassan / FRUFS
  An unsupervised feature selection technique using supervised algorithms such as XGBoost
  ☆92Updated 2 years ago
• DataForScience / Timeseries
  Timeseries for everyone
  ☆263Updated 2 years ago
• ryanmark1867 / deep_learning_for_structured_data
  Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…
  ☆73Updated 4 years ago
• PacktPublishing / Deep-Learning-and-XAI-Techniques-for-Anomaly-Detection
  Deep Learning and XAI Techniques for Anomaly Detection, published by Packt
  ☆41Updated last month
• PacktPublishing / Machine-Learning-Engineering-with-MLflow
  Machine Learning Engineering with MLflow, published by Packt
  ☆122Updated this week
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 6 years ago
• himanshurawlani / hyper_fcn
  Hyperparameter tuning for FCN using Ray Tune
  ☆14Updated 5 years ago
• feedzai / timeshap
  TimeSHAP explains Recurrent Neural Network predictions.
  ☆196Updated 2 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆86Updated 3 years ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆342Updated 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
• Apress / beginning-anomaly-detection-using-python-based-dl
  Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari
  ☆84Updated 6 years ago
• datamllab / automl-in-action-notebooks
  Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"
  ☆99Updated 2 years ago
• GokuMohandas / testing-ml
  Learn how to create reliable ML systems by testing code, data and models.
  ☆91Updated 3 years ago
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆76Updated 2 years ago
• baosenguo / Kaggle-MoA-2nd-Place-Solution
  ☆169Updated 5 years ago
• ngoix / EMMV_benchmarks
  ☆50Updated 8 years ago
• lmassaron / kaggledays-2019-gbdt
  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
  ☆91Updated 2 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• gautham20 / pytorch-ts
  Tutorials on using encoder decoder architecture for time series forecasting
  ☆117Updated 4 years ago
• rasgointelligence / feature-engineering-tutorials
  Data Science Feature Engineering and Selection Tutorials
  ☆290Updated 3 weeks ago
• lmassaron / deep-learning-for-tabular-data
  An updated (2025) guide to Deep Learning for tabular data, comparing a fine-tuned Keras 3 (PyTorch backend) DNN and an Optuna-optimized…
  ☆48Updated 5 months ago
• ryancheunggit / tabular_dae
  ☆54Updated 3 years ago
• javaidnabi31 / Multi-class-with-imbalanced-dataset-classification
  Multi-class with imbalanced dataset classification
  ☆84Updated 6 years ago
• tusharsarkar3 / XBNet
  Boosted neural network for tabular data
  ☆217Updated last year
• sscardapane / neural-networks-for-data-science
  Notebooks for a course
  ☆41Updated 6 years ago