Alternatives and similar repositories for pylearningcurvepredictor

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

• 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
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆147Updated 5 years ago
• lopezpaz / distillation_privileged_information
  Code for "Unifying distillation and privileged information" (ICLR 2016).
  ☆48Updated 9 years ago
• dhruvramani / Neural-Architecture-Search-with-RL
  Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
  ☆41Updated 7 years ago
• callowbird / Harmonica
  Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
  ☆173Updated 6 years ago
• automl / fanova
  Functional ANOVA
  ☆125Updated 5 months ago
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆134Updated 6 years ago
• RuiShu / nn-bayesian-optimization
  We use a modified neural network instead of Gaussian process for Bayesian optimization.
  ☆108Updated 8 years ago
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆169Updated 6 years ago
• fabianp / group_lasso
  ☆39Updated 12 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
• ChunyuanLI / pSGLD
  AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
  ☆35Updated 6 years ago
• yaringal / DropoutUncertaintyCaffeModels
  Dropout As A Bayesian Approximation: Code
  ☆204Updated 10 years ago
• automl / HPOlib1.5
  ☆69Updated 5 years ago
• ucla-vision / entropy-sgd
  Lua implementation of Entropy-SGD
  ☆82Updated 7 years ago
• MethodsOfMachineLearning / cabs
  Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
  ☆44Updated 8 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆115Updated 8 years ago
• tdomhan / pylearningcurvepredictor
  predicting learning curves in python
  ☆20Updated 10 years ago
• YingzhenLi / Dropout_BBalpha
  Implementations of the ICML 2017 paper (with Yarin Gal)
  ☆38Updated 7 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆86Updated 9 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 4 years ago
• paengs / Net2Net
  Tensorflow and Numpy Implementation of Net2Net (http://arxiv.org/abs/1511.05641)
  ☆48Updated 7 years ago
• bowenbaker / metaqnn
  ☆136Updated 8 years ago
• donghyunlee / dtp
  ☆36Updated 10 years ago
• AMLab-Amsterdam / MNF_VBNN
  Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
  ☆66Updated 5 years ago
• sixin-zh / mpiT
  MPI for Torch
  ☆61Updated 8 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 6 years ago