Alternatives and similar repositories for awesome-automl:

Users that are interested in awesome-automl are comparing it to the libraries listed below

• Alex-Lekov / AutoML-Benchmark
  A Performance Benchmark of Different AutoML Frameworks
  ☆35Updated last year
• MLBazaar / AutoBazaar
  AutoBazaar: An AutoML System from the Machine Learning Bazaar
  ☆33Updated 3 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 3 years ago
• laic-ufmg / Recipe
  Automated machine learning (AutoML) with grammar-based genetic programming
  ☆54Updated 10 months ago
• saket-maheshwary / AutoLearn
  AutoLearn, a domain independent regression-based feature learning algorithm.
  ☆30Updated 5 years ago
• alteryx / featuretools-tsfresh-primitives
  TSFresh primitives for featuretools
  ☆36Updated 2 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• jianzhnie / AutoTabular
  Automatic machine learning for tabular data. ⚡🔥⚡
  ☆70Updated 3 years ago
• AntoinePassemiers / Encoder-Forest
  eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding
  ☆23Updated 4 years ago
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• mljar / automl_comparison
  Comparison of automatic machine learning libraries
  ☆27Updated 7 years ago
• Hvass-Labs / MetaOps
  Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)
  ☆54Updated 6 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• yuvalatzmon / SACRED_HyperOpt_v2
  A collection of classes, methods and examples, to integrate SACRED experiment framework with hyperopt distributed training.
  ☆18Updated 6 years ago
• ksachdeva / scikit-nni
  AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
  ☆24Updated 2 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 5 years ago
• automl / BOAH
  BOAH: Bayesian Optimization & Analysis of Hyperparameters
  ☆67Updated 4 years ago
• DataSystemsGroupUT / AutoML_Survey
  ☆204Updated 5 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 2 years ago
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆98Updated 8 months ago
• rasbt / interpretable-ml-article
  Code examples for my Interpretable Machine Learning Blog Series
  ☆58Updated 4 years ago
• zhengying-liu / autodl
  A machine learning competition in Automated Deep Learning (AutoDL), co-organized by ChaLearn, Google and 4Paradigm. Accepted at NeurIPS 2…
  ☆22Updated 4 years ago
• yzhao062 / mmad
  multimodal anomaly detection
  ☆13Updated 4 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 4 years ago
• automl / george
  Fast Gaussian Processes for regression
  ☆11Updated 6 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 4 years ago
• OverLordGoldDragon / deeptrain
  Full knowledge and control of the train state.
  ☆17Updated 4 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆76Updated 5 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• alteryx / DL-DB
  Deep learning for time-varying multi-entity datasets
  ☆17Updated 6 years ago