MLRichter / receptive_field_analysis_toolboxLinks
A toolbox for receptive field analysis and visualizing neural network architectures
☆114Updated last month
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:
- Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".☆160Updated 4 years ago
- Tool box for PyTorch☆189Updated 5 months ago
- PyTorch implementations of `BatchSampler` that under/over sample according to a chosen parameter alpha, in order to create a balanced tra…☆85Updated 5 years ago
- Pytorch Feature Map Extractor☆48Updated last year
- Feature extraction made simple with torchextractor☆101Updated 4 years ago
- A crash course on PyTorch hooks☆40Updated 5 years ago
- Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/180…☆154Updated last year
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆221Updated 5 months ago
- High-quality Neural Networks for Computer Vision 😎☆447Updated 3 years ago
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆207Updated 4 years ago
- This is the official implementation of TrivialAugment and a mini-library for the application of multiple image augmentation strategies in…☆164Updated 2 years ago
- Provides everything needed for high performance data loading and augmentation in pytorch.☆318Updated last year
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆485Updated 4 years ago
- Gradient based receptive field estimation for Convolutional Neural Networks☆342Updated 5 years ago
- A modular PyTorch library for vision transformer models☆163Updated last year
- Pytorch augmentation☆119Updated last year
- Useful PyTorch functions and modules that are not implemented in PyTorch by default☆188Updated last year
- (ICCV 2021 Oral) CoaT: Co-Scale Conv-Attentional Image Transformers☆232Updated 3 years ago
- Probing the representations of Vision Transformers.☆329Updated 2 years ago
- The PASS dataset: pretrained models and how to get the data☆264Updated 3 years ago
- [ICML 2023] Official PyTorch implementation of Global Context Vision Transformers☆439Updated last year
- Nested Hierarchical Transformer https://arxiv.org/pdf/2105.12723.pdf☆198Updated last year
- [ICLR 2022] Finding an Unsupervised Image Segmenter in each of your Deep Generative Models☆78Updated 3 years ago
- Implementation of CenterNet and FairMOT with PyTorch Lightning☆71Updated 3 years ago
- ☆161Updated 3 years ago
- VICRegL official code base☆229Updated 2 years ago
- A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.☆141Updated 3 years ago
- Compute receptive fields of your favorite convnets☆443Updated 4 years ago
- A simple wrapper library for binding timm models as detectron2 backbones☆43Updated 2 years ago
- Pytorch implementation of LOST unsupervised object discovery method☆248Updated 2 years ago