Alternatives and similar repositories for DeepInversion

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

• ssnl / dataset-distillation
  Open-source code for paper "Dataset Distillation"
  ☆810Updated last week
• yaoyao-liu / mini-imagenet-tools
  Tools for generating mini-ImageNet dataset and processing batches
  ☆449Updated 4 years ago
• hendrycks / imagenet-r
  ImageNet-R(endition) and DeepAugment (ICCV 2021)
  ☆267Updated 3 years ago
• xternalz / WideResNet-pytorch
  Wide Residual Networks (WideResNets) in PyTorch
  ☆339Updated 4 years ago
• facebookresearch / Adversarial-Continual-Learning
  Implementation for the paper "Adversarial Continual Learning" in PyTorch.
  ☆254Updated 2 years ago
• yuanli2333 / Teacher-free-Knowledge-Distillation
  Knowledge Distillation: CVPR2020 Oral, Revisiting Knowledge Distillation via Label Smoothing Regularization
  ☆584Updated 2 years ago
• GeorgeCazenavette / mtt-distillation
  Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"
  ☆425Updated 11 months ago
• arunmallya / packnet
  Code for PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
  ☆235Updated 6 years ago
• tjmoon0104 / pytorch-tiny-imagenet
  pytorch-tiny-imagenet
  ☆179Updated last year
• ildoonet / pytorch-randaugment
  Unofficial PyTorch Reimplementation of RandAugment.
  ☆637Updated 2 years ago
• HaohanWang / HFC
  Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
  ☆238Updated 4 years ago
• lenscloth / RKD
  Official pytorch Implementation of Relational Knowledge Distillation, CVPR 2019
  ☆401Updated 4 years ago
• VainF / Data-Free-Adversarial-Distillation
  Code and pretrained models for paper: Data-Free Adversarial Distillation
  ☆99Updated 2 years ago
• hendrycks / robustness
  Corruption and Perturbation Robustness (ICLR 2019)
  ☆1,081Updated 2 years ago
• naver-ai / relabel_imagenet
  ☆403Updated 2 years ago
• google-research / task_adaptation
  ☆328Updated 2 months ago
• NVlabs / Taylor_pruning
  Pruning Neural Networks with Taylor criterion in Pytorch
  ☆318Updated 5 years ago
• BayesWatch / cinic-10
  A drop-in replacement for CIFAR-10.
  ☆241Updated 4 years ago
• facebookresearch / fair_self_supervision_benchmark
  Scaling and Benchmarking Self-Supervised Visual Representation Learning
  ☆586Updated 3 years ago
• google-research / augmix
  AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
  ☆989Updated 3 weeks ago
• xuguodong03 / SSKD
  [ECCV2020] Knowledge Distillation Meets Self-Supervision
  ☆237Updated 2 years ago
• bmsookim / wide-resnet.pytorch
  Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch
  ☆471Updated 5 years ago
• vikasverma1077 / manifold_mixup
  Code for reproducing Manifold Mixup results (ICML 2019)
  ☆494Updated last year
• yuanli2333 / CKA-Centered-Kernel-Alignment
  Reproduce CKA: Similarity of Neural Network Representations Revisited
  ☆303Updated 5 years ago
• Philip-Bachman / amdim-public
  Public repo for Augmented Multiscale Deep InfoMax representation learning
  ☆400Updated 4 years ago
• polo5 / ZeroShotKnowledgeTransfer
  Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching"
  ☆141Updated 5 years ago
• bethgelab / model-vs-human
  Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
  ☆350Updated 2 months ago
• blackfeather-wang / ISDA-for-Deep-Networks
  An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
  ☆590Updated 4 years ago
• tingxueronghua / pytorch-classification-advprop
  ☆108Updated 3 years ago
• facebookresearch / mixup-cifar10
  mixup: Beyond Empirical Risk Minimization
  ☆1,181Updated 3 years ago