Alternatives and similar repositories for adashift

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

• juliagusak / flopco-pytorch
  FLOPs and other statistics COunter for Pytorch neural networks
  ☆23Updated 4 years ago
• musco-ai / musco-pytorch
  MUSCO: MUlti-Stage COmpression of neural networks
  ☆72Updated 4 years ago
• oseledets / nla2017
  Skoltech 2017 NLA course
  ☆37Updated 6 years ago
• zhuchen03 / gradinit
  Learning to Initialize Neural Networks for Stable and Efficient Training
  ☆139Updated 3 years ago
• r-isachenko / 2021-DGM-MIPT-course
  Deep Generative Models course, 2021
  ☆22Updated 3 years ago
• imedslab / greedy_ensembles_training
  Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)
  ☆11Updated 2 years ago
• santadendi / PyTorch-YOLOv3
  Modification of PyTorch implementation of YOLOv3 Object Detection.
  ☆17Updated 5 years ago
• artyompal / tpu_models
  A fork of the official TPU models repo with fixes and a solution of the Kaggle Open Images 2019 Object Detection Challenge
  ☆49Updated 5 years ago
• xgfs / imd
  Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
  ☆51Updated 6 years ago
• skolai / fewbit
  Compression schema for gradients of activations in backward pass
  ☆44Updated last year
• nadiinchi / dl_labs
  ☆26Updated 4 years ago
• deeppavlov / tdl2
  Theoretical Deep Learning: generalization ability
  ☆46Updated 5 years ago
• oseledets / nla2018
  NLA 2018 Skoltech course
  ☆55Updated 6 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• khakhulin / compressed-transformer
  Compression of NMT transformer model with tensor methods
  ☆48Updated 6 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆46Updated 5 years ago
• amkatrutsa / advanced-opt
  Presentations of the advanced topics in optimization
  ☆11Updated 5 years ago
• alxmamaev / theloop
  model-in-the-loop
  ☆42Updated 5 years ago
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 5 years ago
• hexfaker / matches
  Take control back!
  ☆18Updated 3 years ago
• KhrulkovV / tt-pytorch
  ☆60Updated 4 years ago
• deeppavlov / tdl
  Course "Theories of Deep Learning"
  ☆196Updated 5 years ago
• EvgenyKashin / non-leaking-conv
  Implementation of Spectral Leakage and Rethinking the Kernel Size in CNNs in Pytorch
  ☆14Updated 4 years ago
• Tismoney / HessianFree
  On the New method of Hessian-free second-order optimization
  ☆8Updated 5 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• likzet / bayesianBook
  Development of the book devoted to overview of connections between Bayesian Statistics and Bayesian Machine Learning
  ☆8Updated 5 years ago
• shivram1987 / diffGrad
  diffGrad: An Optimization Method for Convolutional Neural Networks
  ☆55Updated 2 years ago
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• bayesgroup / HSE_ML_research_seminar
  ☆21Updated 3 years ago
• arsenyinfo / hookandlook
  A library helping to gather stats and run checks during training deep learning models with Pytorch
  ☆35Updated 3 years ago