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
  ☆43Updated 8 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 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
• michaelfarrell76 / Distributed-SGD
  Parallel SGD, done locally and remote
  ☆14Updated 9 years ago
• RobRomijnders / bandit
  Implementation of Counterfactual risk minimization
  ☆26Updated 8 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 4 years ago
• sergulaydore / Feature-Grouping-Regularizer
  Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.
  ☆20Updated 6 years ago
• liamcli / hyperband_benchmarks
  ☆14Updated 8 years ago
• markm541374 / gpbo
  gpbo
  ☆25Updated 4 years ago
• ofirpress / PartialShuffle
  ☆14Updated 5 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 5 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 7 years ago
• ravidziv / Information-bottleneck
  Python implementation of the infomration bottleneck method (tishby et al, 1999)
  ☆36Updated 7 years ago
• rotinov / AGNES
  Flexible Reinforcement Learning Framework with PyTorch
  ☆22Updated 4 years ago
• MadryLab / robustness_lib
  ☆11Updated 5 years ago
• blei-lab / context-selection-embedding
  Context Selection for Embedding Models
  ☆27Updated 7 years ago
• automl / HPOlib1.5
  ☆69Updated 4 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 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 9 years ago
• brekelma / echo
  Echo Noise Channel for Exact Mutual Information Calculation
  ☆17Updated 4 years ago
• EigenPro / EigenPro2
  EigenPro2 iteration in Tensorflow (Keras)
  ☆23Updated 6 years ago
• wenwei202 / smoothout
  SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning
  ☆23Updated 6 years ago
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 7 years ago
• vfleaking / rnnprop
  RNNprop
  ☆36Updated 8 years ago
• divelab / vqa-text
  ☆19Updated 6 years ago
• jamesrobertlloyd / automl-phase-2
  1st place submission to the AutoML competition - phase 2
  ☆28Updated 9 years ago
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆17Updated 4 years ago
• kudkudak / dnn_sharpest_directions
  Code for "On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length", ICLR 2019
  ☆11Updated 2 years ago
• davidstutz / cvpr2019-adversarial-robustness
  CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".
  ☆14Updated 5 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 6 years ago