Alternatives and similar repositories for petridishnn

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

• negrinho / deep_architect
  A general, modular, and programmable architecture search framework
  ☆123Updated 2 years ago
• countif / enas_nni
  This code is for running enas on nni.
  ☆25Updated 6 years ago
• allenai / dnw
  Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)
  ☆136Updated this week
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• alecwangcq / EigenDamage-Pytorch
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆113Updated 5 years ago
• amzn / metalearn-leap
  Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…
  ☆148Updated 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 8 years ago
• titu1994 / progressive-neural-architecture-search
  Implementation of Progressive Neural Architecture Search in Keras and Tensorflow
  ☆118Updated 6 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 6 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆78Updated 7 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 6 years ago
• arberzela / EfficientNAS
  Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
  ☆49Updated 5 years ago
• NVIDIA / Milano
  Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
  ☆155Updated 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
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆168Updated 6 years ago
• linnanwang / AlphaX-NASBench101
  Neural Architecture Search using Deep Neural Network and Monte Carlo Tree Search
  ☆170Updated 5 years ago
• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆35Updated 7 years ago
• RUSH-LAB / LSH_Memory
  One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH
  ☆75Updated 7 years ago
• chenxi116 / PNASNet.TF
  TensorFlow implementation of PNASNet-5 on ImageNet
  ☆101Updated 7 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆145Updated 6 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆70Updated 4 years ago
• kirthevasank / nasbot
  Neural Architecture Search with Bayesian Optimisation and Optimal Transport
  ☆135Updated 6 years ago
• lnsmith54 / super-convergence
  Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"
  ☆191Updated 7 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆126Updated 7 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 7 years ago
• ucla-labx / distbelief
  Implementing Google's DistBelief paper
  ☆116Updated 2 years ago
• brain-research / mean-field-cnns
  ☆34Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• zhengying-liu / autodl_starting_kit_stable
  Starting kit for AutoCV/AutoDL challenge (https://autodl.chalearn.org)
  ☆41Updated 5 years ago