Alternatives and similar repositories for pylearningcurvepredictor

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

• tdomhan / pylearningcurvepredictor
  predicting learning curves in python
  ☆21Updated 10 years ago
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆135Updated 6 years ago
• callowbird / Harmonica
  Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
  ☆174Updated 6 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆146Updated 6 years ago
• automl / fanova
  Functional ANOVA
  ☆124Updated 7 months ago
• dhruvramani / Neural-Architecture-Search-with-RL
  Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
  ☆40Updated 7 years ago
• fabianp / group_lasso
  ☆39Updated 13 years ago
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆168Updated 6 years ago
• keskarnitish / large-batch-training
  Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"
  ☆145Updated 8 years ago
• automl / HPOlib1.5
  ☆69Updated 5 years ago
• RuiShu / nn-bayesian-optimization
  We use a modified neural network instead of Gaussian process for Bayesian optimization.
  ☆108Updated 8 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• liamcli / hyperband_benchmarks
  ☆14Updated 8 years ago
• jamesrobertlloyd / automl-phase-2
  1st place submission to the AutoML competition - phase 2
  ☆28Updated 10 years ago
• automl / nas_benchmarks
  ☆97Updated 6 years ago
• ChunyuanLI / pSGLD
  AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
  ☆35Updated 7 years ago
• lopezpaz / distillation_privileged_information
  Code for "Unifying distillation and privileged information" (ICLR 2016).
  ☆48Updated 9 years ago
• MethodsOfMachineLearning / cabs
  Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
  ☆44Updated 8 years ago
• nutszebra / neural_architecture_search_with_reinforcement_learning_appendix_a
  Implementation of Appendix A (Neural Architecture Search with Reinforcement Learning: https://arxiv.org/abs/1611.01578) by chainer
  ☆54Updated 7 years ago
• jamesrobertlloyd / automl-phase-1
  2nd place submission to the AutoML competition - phase 1
  ☆22Updated 10 years ago
• titu1994 / progressive-neural-architecture-search
  Implementation of Progressive Neural Architecture Search in Keras and Tensorflow
  ☆118Updated 6 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 7 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆149Updated 8 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 9 years ago
• AIworx-Labs / chocolate
  A fully decentralized hyperparameter optimization framework
  ☆124Updated last year
• LIBOL / SOL
  Library for Scalable Online Learning
  ☆98Updated 4 years ago
• bstriner / bayesian_dense
  Bayesian Weight Uncertainty Dense Layer for Keras
  ☆48Updated 8 years ago
• KarenUllrich / Tutorial_BayesianCompressionForDL
  A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).
  ☆206Updated 6 years ago