Alternatives and similar repositories for adashift:

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

• musco-ai / musco-pytorch
  MUSCO: MUlti-Stage COmpression of neural networks
  ☆71Updated 4 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
• zhuchen03 / gradinit
  Learning to Initialize Neural Networks for Stable and Efficient Training
  ☆139Updated 2 years ago
• oseledets / nla2017
  Skoltech 2017 NLA course
  ☆37Updated 6 years ago
• juliagusak / flopco-pytorch
  FLOPs and other statistics COunter for Pytorch neural networks
  ☆23Updated 3 years ago
• skolai / fewbit
  Compression schema for gradients of activations in backward pass
  ☆44Updated last year
• 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
• deeppavlov / tdl2
  Theoretical Deep Learning: generalization ability
  ☆46Updated 5 years ago
• Scitator / catalyst-examples
  Examples
  ☆54Updated 6 years ago
• alxmamaev / theloop
  model-in-the-loop
  ☆42Updated 5 years ago
• imedslab / greedy_ensembles_training
  Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)
  ☆11Updated 2 years ago
• r-isachenko / 2021-DGM-MIPT-course
  Deep Generative Models course, 2021
  ☆22Updated 3 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• senya-ashukha / simple-gradient-boosting
  Very simple and short implementation of gradient boosting in 18 lines of code
  ☆9Updated 4 years ago
• deeppavlov / tdl
  Course "Theories of Deep Learning"
  ☆196Updated 5 years ago
• santadendi / PyTorch-YOLOv3
  Modification of PyTorch implementation of YOLOv3 Object Detection.
  ☆17Updated 5 years ago
• oseledets / nla2018
  NLA 2018 Skoltech course
  ☆55Updated 6 years ago
• fabio-deep / ReZero-ResNet
  Unofficial pytorch implementation of ReZero in ResNet
  ☆23Updated 5 years ago
• IlyaDobrynin / opti_models
  PyTorch optimizations and benchmarking
  ☆56Updated 3 years ago
• ppln-team / ppln
  ☆16Updated 4 years ago
• ternaus / iglovikov_segmentation
  Semantic segmentation pipeline using Catalyst.
  ☆20Updated 5 years ago
• EvgenyKashin / non-leaking-conv
  Implementation of Spectral Leakage and Rethinking the Kernel Size in CNNs in Pytorch
  ☆14Updated 4 years ago
• nadiinchi / dl_labs
  ☆26Updated 4 years ago
• bonlime / sota_imagenet
  Code for training on Imagenet to SOTA results using PyTorch
  ☆13Updated last year
• hexfaker / matches
  Take control back!
  ☆18Updated 2 years ago
• esceptico / squeezer
  Lightweight knowledge distillation pipeline
  ☆28Updated 3 years ago
• bayesgroup / deepbayes2017
  ☆66Updated 7 years ago
• aidonchuk / retinanet-examples
  Fast and accurate object detection with end-to-end GPU optimization
  ☆25Updated 5 years ago
• shivram1987 / diffGrad
  diffGrad: An Optimization Method for Convolutional Neural Networks
  ☆55Updated 2 years ago
• likzet / bayesianBook
  Development of the book devoted to overview of connections between Bayesian Statistics and Bayesian Machine Learning
  ☆8Updated 5 years ago