Alternatives and similar repositories for pylearningcurvepredictor

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

• automl / pylearningcurvepredictor
  predicting learning curves in python
  ☆44Updated 8 years ago
• ravidziv / Information-bottleneck
  Python implementation of the infomration bottleneck method (tishby et al, 1999)
  ☆36Updated 8 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆63Updated 4 years ago
• dhruvramani / Neural-Architecture-Search-with-RL
  Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
  ☆40Updated 8 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 7 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• noahgolmant / skeletor
  A tiny module for machine learning experiment orchestration
  ☆63Updated 6 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆145Updated 6 years ago
• mlresearch / v80
  Proceedings of ICML 2018
  ☆39Updated 3 months 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 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
  ☆54Updated 7 years ago
• abhaikollara / flare-archived
  A Keras inspired training utility for PyTorch
  ☆38Updated 7 years ago
• michaelfarrell76 / Distributed-SGD
  Parallel SGD, done locally and remote
  ☆14Updated 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"
  ☆145Updated 8 years ago
• brain-research / mean-field-cnns
  ☆34Updated 6 years ago
• fabianp / group_lasso
  ☆39Updated 13 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
• eladhoffer / fix_your_classifier
  ☆34Updated 7 years ago
• RemiLeblond / SeaRNN-open
  Open source implementation of SeaRNN (ICLR 2018, https://openreview.net/forum?id=HkUR_y-RZ)
  ☆48Updated 7 years ago
• google / gpu-mux
  ☆42Updated 6 years ago
• tobegit3hub / enas_model
  Automatically build the deep learning models with ENAS
  ☆31Updated 7 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 7 years ago
• vsyrgkanis / optimistic_GAN_training
  ☆46Updated 7 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 7 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• svenpeter42 / LightGBM-CEGB
  Fork of Microsoft/LightGBM to include support for the CEGB (Cost Efficient Gradient Boosting) algorithm. Original repository at https://g…
  ☆13Updated 8 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆192Updated 2 years ago
• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆41Updated 8 years ago