Alternatives and similar repositories for PyTorch_CIFAR10

Users that are interested in PyTorch_CIFAR10 are comparing it to the libraries listed below

• Holmeswww / PPOGAN
  ☆25Updated last year
• 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
• ananyahjha93 / libself
  PyTorch Lightning based framework to run experiments for self-supervised learning tasks.
  ☆10Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 6 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆86Updated 4 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 5 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
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆84Updated 3 years ago
• unixpickle / vq-draw
  A discrete sequential VAE
  ☆40Updated 5 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• lucidrains / kronecker-attention-pytorch
  Implementation of Kronecker Attention in Pytorch
  ☆19Updated 5 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆30Updated 5 years ago
• sayakpaul / Adaptive-Gradient-Clipping
  Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.
  ☆85Updated 4 years ago
• uber-research / GTN
  ☆80Updated 5 years ago
• google / n-digit-mnist
  ☆46Updated 6 years ago
• facebookresearch / grounding-inductive-biases
  reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"
  ☆17Updated last year
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆29Updated 5 years ago
• ducha-aiki / hardnet-in-fastai2-and-kornia
  Re-implementation of local descriptor HardNet training in fasta2+kornia
  ☆21Updated 5 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆53Updated 4 years ago
• BorealisAI / bre-gan
  Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …
  ☆20Updated 7 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆35Updated 5 years ago
• EsterHlav / Dynamical-Isometry-from-Orthogonality-Neural-Nets
  Mathematical consequences of orthogonal weights initialization and regularization in deep learning. Experiments with gain-adjusted orthog…
  ☆17Updated 6 years ago
• bingchenlll / pytorch-IBGAN
  A pytorch implementation of Information Bottleneck GAN
  ☆28Updated 6 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 5 years ago
• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆66Updated 5 years ago
• ducha-aiki / LSUV-pytorch
  Simple implementation of the LSUV initialization in PyTorch
  ☆58Updated last year