Alternatives and similar repositories for hypopt

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

• metriculous-ml / metriculous
  Measure and visualize machine learning model performance without the usual boilerplate.
  ☆99Updated last year
• AndreasMadsen / python-lrcurve
  Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.
  ☆177Updated 3 years ago
• anonICLR2020 / node
  ☆26Updated 6 years ago
• imdeepmind / NeuralPy
  NeuralPy: A Keras like deep learning library works on top of PyTorch
  ☆79Updated last year
• erlendd / covariate-shift-adaption
  An example of using a discriminator to correct for a difference in the distributions between the training and test data.
  ☆67Updated 8 years ago
• daxiongshu / rapids-ai-BBO-2nd-place-solution
  ☆71Updated 5 years ago
• gdikov / hypertunity
  A toolset for black-box hyperparameter optimisation.
  ☆136Updated 5 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• google / TrustScore
  To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective t…
  ☆177Updated 2 years ago
• yashu-seth / pytorch-tabular
  A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.
  ☆67Updated 6 years ago
• bsharchilev / influence_boosting
  Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
  ☆68Updated last year
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 4 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆193Updated 2 years ago
• tcapelle / timeseries_fastai
  fastai V2 implementation of Timeseries classification papers.
  ☆242Updated 3 years ago
• oguiza / Practical-Deep-Learning-Applied-to-Time-Series
  Practical Deep Learning resources for Time series analysis and forecasting
  ☆85Updated 4 years ago
• OverLordGoldDragon / keras-adamw
  Keras/TF implementation of AdamW, SGDW, NadamW, Warm Restarts, and Learning Rate multipliers
  ☆169Updated 3 years ago
• zygmuntz / gaussrank
  Preparing continuous features for neural networks with GaussRank
  ☆45Updated 7 years ago
• seba-1511 / randopt
  Streamlined machine learning experiment management.
  ☆108Updated 5 years ago
• chrisorm / pydata-2018
  ☆64Updated 7 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• thuijskens / scikit-hyperband
  A scikit-learn compatible implementation of hyperband
  ☆77Updated 6 years ago
• SelfExplainML / Aletheia
  A Python package for unwrapping ReLU DNNs
  ☆68Updated last year
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆97Updated 5 years ago
• josephius / star-clustering
  A clustering algorithm that automatically determines the number of clusters and works without hyperparameter fine-tuning.
  ☆219Updated 5 years ago
• udellgroup / oboe
  An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.
  ☆82Updated 4 years ago
• LGE-ARC-AdvancedAI / auptimizer
  An automatic ML model optimization tool.
  ☆199Updated 2 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 5 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆344Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago