rasbt / comparing-automatic-augmentation-blog

Related projects ⓘ

Alternatives and complementary repositories for comparing-automatic-augmentation-blog

• FrancescoSaverioZuppichini / DropPath
  Implementing DropPath/StochasticDepth in PyTorch
  ☆16Updated 2 years ago
• tchaton / pytorch2lightning
  ☆15Updated 3 years ago
• lessw2020 / Thunder-Detr
  (unofficial) - customized fork of DETR, optimized for intelligent obj detection on 'real world' custom datasets
  ☆12Updated 4 years ago
• Zasder3 / open_clip_juwels
  An open source implementation of CLIP.
  ☆32Updated 2 years ago
• ravidziv / SimplifyingImbalancedTraining
  ☆5Updated 11 months ago
• teddykoker / u-noise
  Official PyTorch code for U-Noise: Learnable Noise Masks for Interpretable Image Segmentation (ICIP 2021)
  ☆39Updated 3 years ago
• stanislavfort / adversaries_to_convnext
  Adversarial examples to the new ConvNeXt architecture
  ☆20Updated 2 years ago
• katelyn98 / CorruptionRobustness
  We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…
  ☆15Updated 3 years ago
• facebookresearch / dmae_st
  Directed masked autoencoders
  ☆14Updated last year
• sayakpaul / big_vision_experiments
  Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.
  ☆22Updated last year
• vfdev-5 / FixMatch-pytorch
  Implementation of FixMatch in PyTorch and experimentations
  ☆11Updated 4 years ago
• facebookresearch / grounding-inductive-biases
  reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"
  ☆16Updated last month
• NVlabs / HCL
  [CVPR'23 Highlight] Heterogeneous Continual Learning.
  ☆15Updated 11 months ago
• visym / vipy
  Python Tools for Visual Dataset Transformation
  ☆26Updated this week
• sayakpaul / Training-BatchNorm-and-Only-BatchNorm
  Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
  ☆28Updated 4 years ago
• sayakpaul / AdaMatch-TF
  Includes additional materials for the following keras.io blog post.
  ☆12Updated 3 years ago
• shellysheynin / Locally-SAG-Transformer
  Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"
  ☆15Updated 2 years ago
• SamsungSAILMontreal / PAPA
  Repository for the PopulAtion Parameter Averaging (PAPA) paper
  ☆26Updated 6 months ago
• lucidrains / compositional-attention-pytorch
  Implementation of "compositional attention" from MILA, a multi-head attention variant that is reframed as a two-step attention process wi…
  ☆50Updated 2 years ago
• facebookresearch / tce
  Library for the Test-based Calibration Error (TCE) metric to quantify the degree to classifier calibration.
  ☆13Updated last year
• lucidrains / deep-linear-network
  A simple implementation of a deep linear Pytorch module
  ☆18Updated 4 years ago
• dlmacedo / distinction-maximization-loss
  A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in y…
  ☆45Updated 2 years ago
• lucidrains / logavgexp-torch
  Implementation of LogAvgExp for Pytorch
  ☆32Updated 2 years ago
• ebartrum / lightning_gan_zoo
  GAN models implemented with Pytorch Lightning and Hydra configuration
  ☆34Updated 2 years ago
• shoaibahmed / metadata_archaeology
  Official code for the paper: "Metadata Archaeology"
  ☆18Updated last year
• soumik12345 / nerf.jax
  A minimal TPU compatible Jax implementation of NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis.
  ☆13Updated 2 years ago
• Kennethborup / self_distillation
  Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression
  ☆17Updated 3 years ago
• lucidrains / local-attention-flax
  Local Attention - Flax module for Jax
  ☆20Updated 3 years ago
• jotaf98 / shareddataset
  A PyTorch Dataset that caches samples in shared memory, accessible globally to all processes
  ☆20Updated 2 years ago