automl / pylearningcurvepredictor

Related projects ⓘ

Alternatives and complementary repositories for pylearningcurvepredictor

• fabianp / group_lasso
  ☆39Updated 12 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 3 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 3 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 6 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 6 years ago
• ucla-vision / entropy-sgd
  Lua implementation of Entropy-SGD
  ☆81Updated 6 years ago
• jamesrobertlloyd / automl-phase-1
  2nd place submission to the AutoML competition - phase 1
  ☆22Updated 9 years ago
• automl / fanova
  Functional ANOVA
  ☆122Updated 7 months ago
• sixin-zh / mpiT
  MPI for Torch
  ☆61Updated 7 years ago
• liamcli / hyperband_benchmarks
  ☆14Updated 7 years ago
• ChunyuanLI / pSGLD
  AAAI & CVPR 2016: Preconditioned Stochastic Gradient Langevin Dynamics (pSGLD)
  ☆35Updated 6 years ago
• lopezpaz / distillation_privileged_information
  Code for "Unifying distillation and privileged information" (ICLR 2016).
  ☆48Updated 8 years ago
• MethodsOfMachineLearning / cabs
  Tensorflow implementation of SGD with Coupled Adaptive Batch Size (CABS)
  ☆43Updated 7 years ago
• huanzhang12 / hogwildpp
  HogWild++: A New Mechanism for Decentralized Asynchronous Stochastic Gradient Descent
  ☆33Updated 8 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆38Updated 5 years ago
• ili3p / HORD
  Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
  ☆114Updated 7 years ago
• wittawatj / kernel-gof
  NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.
  ☆67Updated 5 years ago
• jamesrobertlloyd / automl-phase-2
  1st place submission to the AutoML competition - phase 2
  ☆27Updated 9 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
  ☆55Updated 6 years ago
• YixuanLi / convergent_learning
  Code for paper "Convergent Learning: Do different neural networks learn the same representations?"
  ☆85Updated 8 years ago
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆133Updated 5 years ago
• brain-research / mean-field-cnns
  ☆35Updated 5 years ago
• DanielSlater / Net2Net
  numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641
  ☆53Updated 8 years ago
• izmailovpavel / TTGP
  ☆26Updated 6 years ago
• forestagostinelli / Learned-Activation-Functions-Source
  For the reproduction of research by Agostinelli et al. Learning Activation Functions to Improve Deep Neural Networks. http://arxiv.org/ab…
  ☆19Updated 9 years ago
• tdomhan / pylearningcurvepredictor
  predicting learning curves in python
  ☆20Updated 9 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"
  ☆138Updated 7 years ago
• AMLab-Amsterdam / MNF_VBNN
  Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks
  ☆64Updated 4 years ago
• RuiShu / nn-bayesian-optimization
  We use a modified neural network instead of Gaussian process for Bayesian optimization.
  ☆107Updated 7 years ago