Alternatives and similar repositories for adashift:

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

• oseledets / nla2017
  Skoltech 2017 NLA course
  ☆37Updated 6 years ago
• zhuchen03 / gradinit
  Learning to Initialize Neural Networks for Stable and Efficient Training
  ☆139Updated 2 years ago
• juliagusak / flopco-pytorch
  FLOPs and other statistics COunter for Pytorch neural networks
  ☆23Updated 3 years ago
• musco-ai / musco-pytorch
  MUSCO: MUlti-Stage COmpression of neural networks
  ☆72Updated 4 years ago
• imedslab / greedy_ensembles_training
  Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)
  ☆11Updated 2 years ago
• deeppavlov / tdl2
  Theoretical Deep Learning: generalization ability
  ☆46Updated 5 years ago
• xgfs / imd
  Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
  ☆51Updated 5 years ago
• Tismoney / HessianFree
  On the New method of Hessian-free second-order optimization
  ☆8Updated 4 years ago
• alxmamaev / theloop
  model-in-the-loop
  ☆42Updated 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
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• santadendi / PyTorch-YOLOv3
  Modification of PyTorch implementation of YOLOv3 Object Detection.
  ☆17Updated 5 years ago
• r-isachenko / 2021-DGM-MIPT-course
  Deep Generative Models course, 2021
  ☆22Updated 3 years ago
• ducha-aiki / LSUV-pytorch
  Simple implementation of the LSUV initialization in PyTorch
  ☆58Updated last year
• senya-ashukha / simple-gradient-boosting
  Very simple and short implementation of gradient boosting in 18 lines of code
  ☆9Updated 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
• amkatrutsa / advanced-opt
  Presentations of the advanced topics in optimization
  ☆11Updated 5 years ago
• bayesgroup / deepbayes2017
  ☆66Updated 7 years ago
• deeppavlov / tdl
  Course "Theories of Deep Learning"
  ☆196Updated 5 years ago
• SamsungLabs / deep-weight-prior
  The Deep Weight Prior, ICLR 2019
  ☆45Updated 4 years ago
• oseledets / nla2018
  NLA 2018 Skoltech course
  ☆55Updated 6 years ago
• AndrewAtanov / stochastic-batch-normalization
  Uncertainty Estimation via Stochastic Batch Normalization
  ☆20Updated 7 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆74Updated 7 years ago
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 4 years ago
• ppwwyyxx / FRN-on-common-ImageNet-baseline
  Filter Response Normalization tested on better ImageNet baselines.
  ☆35Updated 5 years ago
• khakhulin / compressed-transformer
  Compression of NMT transformer model with tensor methods
  ☆48Updated 5 years ago
• bayesgroup / HSE_ML_research_seminar
  ☆21Updated 2 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 5 years ago
• EvgenyKashin / SRMnet
  PyTorch implementation of "SRM : A Style-based Recalibration Module for Convolutional Neural Networks"
  ☆81Updated 5 years ago