MLRichter / receptive_field_analysis_toolboxLinks
A toolbox for receptive field analysis and visualizing neural network architectures
☆116Updated 2 months ago
Alternatives and similar repositories for receptive_field_analysis_toolbox
Users that are interested in receptive_field_analysis_toolbox are comparing it to the libraries listed below
Sorting:
- Tool box for PyTorch☆188Updated 10 months ago
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆158Updated 4 years ago
- The PASS dataset: pretrained models and how to get the data☆267Updated 3 years ago
- A crash course on PyTorch hooks☆40Updated 5 years ago
- Pytorch implementation of LOST unsupervised object discovery method☆260Updated 2 years ago
- Feature extraction made simple with torchextractor☆101Updated 4 years ago
- Pytorch Feature Map Extractor☆48Updated last year
- VICRegL official code base☆230Updated 2 years ago
- Probing the representations of Vision Transformers.☆338Updated 3 years ago
- Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/180…☆162Updated 2 years ago
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆207Updated 4 years ago
- PyTorch implementations of `BatchSampler` that under/over sample according to a chosen parameter alpha, in order to create a balanced tra…☆86Updated 6 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆319Updated 2 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆485Updated 4 years ago
- [ICML 2023] Official PyTorch implementation of Global Context Vision Transformers☆445Updated 2 years ago
- This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies in…☆167Updated 2 years ago
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆224Updated 10 months ago
- Implementation of popular SOTA self-supervised learning algorithms as Fastai Callbacks.☆327Updated 2 years ago
- A modular PyTorch library for vision transformer models☆164Updated 2 years ago
- [ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models☆78Updated 3 years ago
- Pytorch augmentation☆119Updated 2 years ago
- High-quality Neural Networks for Computer Vision 😎☆446Updated 3 years ago
- Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting V…☆492Updated 2 years ago
- [CVPR 2022] Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization☆236Updated 2 years ago
- ☆162Updated 3 years ago
- A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners☆84Updated 3 years ago
- A simple wrapper library for binding timm models as detectron2 backbones☆44Updated 2 years ago
- [Preprint] ConvMLP: Hierarchical Convolutional MLPs for Vision, 2021☆167Updated 3 years ago
- Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, de…☆102Updated 3 years ago
- (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers☆236Updated 4 years ago