Alternatives and similar repositories for NGBoost-experiments

Users that are interested in NGBoost-experiments are comparing it to the libraries listed below

• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 6 years ago
• david-cortes / costsensitive
  (Python, R) Cost-sensitive multiclass classification (Weighted-All-Pairs, Filter-Tree & others)
  ☆49Updated 8 months ago
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• codyznash / GANs_for_Credit_Card_Data
  ☆109Updated 2 years ago
• SantiagoEG / FCBF_module
  Fast Correlation-Based Feature Selection
  ☆32Updated 8 years ago
• GitiHubi / deepAD
  Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…
  ☆88Updated 6 years ago
• jacobmontiel / AdaptiveXGBoostClassifier
  Implementation of the Adaptive XGBoost classifier for evolving data streams
  ☆44Updated 5 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 6 years ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆66Updated 4 months ago
• alteryx / DL-DB
  Deep learning for time-varying multi-entity datasets
  ☆17Updated 7 years ago
• CVxTz / DeepTabular
  ☆37Updated 5 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• Vincent-Vercruyssen / anomatools
  Toolbox for anomaly detection.
  ☆80Updated 2 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 6 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆205Updated 5 years ago
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆70Updated 4 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆85Updated 7 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 9 years ago
• nicococo / tilitools
  [ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output predict…
  ☆43Updated 7 years ago
• statefb / singular-spectrum-transformation
  fast implementation of singular spectrum transformation (change point detection algorithm)
  ☆51Updated 7 years ago
• firmai / tsgan
  Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))
  ☆122Updated 4 years ago
• datamllab / pyodds
  An End-to-end Outlier Detection System
  ☆257Updated 2 years ago
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆62Updated last year
• Trigram19 / m5-python-starter
  Python framework for a good neural network for the Makidrakis 5 (M5) competition hosted on Kaggle.
  ☆22Updated 5 years ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 6 years ago
• OpenIDEA-YunanUniversity / ycimpute
  A missing value imputation library based on machine learning. It's implementation missForest, simple edition of MICE(R pacakge), knn, EM,…
  ☆108Updated last year
• giladkatz / ExploreKit
  ☆74Updated 7 years ago
• gmontamat / gentun
  Hyperparameter tuning for machine learning models using a distributed genetic algorithm
  ☆90Updated last year
• ostamand / tensorflow-tabnet
  Improved TabNet for TensorFlow
  ☆53Updated 3 years ago