Alternatives and similar repositories for ml-data-parameters

Users that are interested in ml-data-parameters are comparing it to the libraries listed below

• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• apple / ml-afv
  ☆46Updated last year
• apple / ml-capsules-inverted-attention-routing
  ☆125Updated 3 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated 2 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• lnsmith54 / BOSS
  This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…
  ☆36Updated 5 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 5 years ago
• google / n-digit-mnist
  ☆46Updated 6 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• facebookresearch / GAN-optimization-landscape
  code to reproduce the empirical results in the research paper
  ☆36Updated 3 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆60Updated 4 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated 2 years ago
• lrjconan / RBP
  Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018
  ☆43Updated 6 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 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
• vcl-iisc / ZSKD
  Zero-Shot Knowledge Distillation in Deep Networks
  ☆67Updated 3 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• ronghanghu / moco_v3_tpu
  ☆16Updated 3 years ago
• editable-ICLR2020 / editable
  ☆32Updated 5 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• jramapuram / BYOL
  Bootstrap Your Own Latent (BYOL) pytorch implementation using DistributedDataParallel.
  ☆28Updated 2 years ago
• taoyang1122 / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆94Updated 4 years ago
• Healbadbad / curveball-pytorch
  An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch
  ☆21Updated 7 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 years ago
• ShangyuanTong / PairGAN
  ☆22Updated 5 years ago
• rahafaljundi / Selfless-Sequential-Learning
  ☆26Updated 5 years ago