Alternatives and similar repositories for soft-sharing

Users that are interested in soft-sharing are comparing it to the libraries listed below

• hysts / pytorch_shake_shake
  A PyTorch implementation of shake-shake
  ☆111Updated 5 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
• titu1994 / progressive-neural-architecture-search
  Implementation of Progressive Neural Architecture Search in Keras and Tensorflow
  ☆118Updated 6 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆78Updated 7 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 6 years ago
• shirakawas / ASNG-NAS
  Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search
  ☆89Updated 6 years ago
• VITA-Group / Deep-K-Means-pytorch
  [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
  ☆152Updated 4 years ago
• hehaodele / ProbGAN
  [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
  ☆32Updated 6 years ago
• peiwang062 / towards-realistic-predictors
  pytorch implementation for paper, towards realistic predictors
  ☆17Updated 7 years ago
• liamcli / randomNAS_release
  Code release for paper "Random Search and Reproducibility for NAS"
  ☆167Updated 6 years ago
• anubhavashok / N2N
  ☆55Updated 6 years ago
• nocotan / born_again_neuralnet
  Unofficial pytorch implementation of Born-Again Neural Networks.
  ☆57Updated 4 years ago
• allenai / dnw
  Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)
  ☆136Updated 3 weeks ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆61Updated 6 years ago
• bertinetto / r2d2
  [ICLR'19] Meta-learning with differentiable closed-form solvers
  ☆118Updated 6 years ago
• moskomule / pytorch.snapshot.ensembles
  PyTorch implementation of "SNAPSHOT ENSEMBLES: TRAIN 1, GET M FOR FREE" [WIP]
  ☆36Updated 8 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 7 years ago
• MSiam / Few-Shot-Learning
  ☆100Updated 5 years ago
• holyseven / TransferLearningClassification
  Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…
  ☆56Updated 7 years ago
• arberzela / EfficientNAS
  Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906
  ☆48Updated 5 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 7 years ago
• liyu95 / SupportNet
  SupportNet: solving catastrophic forgetting in class incremental learning with support data
  ☆35Updated 7 years ago
• rdevon / cortex
  A machine learning library for PyTorch
  ☆94Updated 3 years ago
• han-cai / EAS
  Efficient Architecture Search by Network Transformation, in AAAI 2018
  ☆168Updated 6 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• henry8527 / COT
  [ICLR'19] Complement Objective Training
  ☆75Updated 7 years ago
• microsoft / snca.pytorch
  Improving Generalization via Scalable Neighborhood Component Analysis
  ☆137Updated 2 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 4 years ago
• haebeom-lee / dropmax
  Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)
  ☆18Updated 5 years ago