BobMcDear / attention-in-vision
PyTorch implementation of popular attention mechanisms in vision
☆15Updated last year
Alternatives and similar repositories for attention-in-vision:
Users that are interested in attention-in-vision are comparing it to the libraries listed below
- Tensorflow 2.0 Implementation of GCViT: Global Context Vision Transformer☆27Updated last year
- Implementation of Swin Transformers in TensorFlow along with converted pre-trained models, code for off-the-shelf classification and fine…☆57Updated 2 years ago
- Implementation of Deep Orthogonal Fusion of Local and Global Features in TensorFlow 2☆25Updated last year
- ☆50Updated last year
- PyTorch implementation of the vision transformer☆18Updated last year
- A crash course on PyTorch hooks☆40Updated 4 years ago
- A PyTorch implementation of computing mean average precision in parallel☆16Updated 2 years ago
- ☆49Updated 2 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆56Updated 2 years ago
- PyTorch reimplementation of the Smooth ReLU activation function proposed in the paper "Real World Large Scale Recommendation Systems Repr…☆22Updated 2 years ago
- Learning Tensorflow Step by Step:: Concepts, Examples & Applications☆57Updated 7 months ago
- A Keras implementation of hybrid efficientnet swin transformer model.☆33Updated last year
- Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformer☆100Updated 4 years ago
- Memory-Efficient CUDA kernels for training ConvNets with PyTorch.☆39Updated last month
- A super-fast Python implementation of seam carving algorithm for intelligent image resizing.☆9Updated 2 years ago
- Cyclemoid implementation for PyTorch☆87Updated 2 years ago
- Kaggle HubMap☆37Updated 3 years ago
- An education step by step implementation of SimCLR that accompanies the blogpost☆32Updated 2 years ago
- In order to control processing-induced dataset drift we require two ingredients: raw sensor data and an image processing model. This code…☆34Updated last year
- several types of attention modules written in PyTorch for learning purposes☆47Updated 5 months ago
- Explainable CNN (XCNN)☆16Updated 4 years ago
- Implements RNNPool and SoftPool for CNNs.☆14Updated 4 years ago
- A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-…☆108Updated 2 years ago
- ☆15Updated 3 years ago
- Hyperparameter optimization study for a PyTorch CNN with Optuna.☆19Updated 3 years ago
- A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners☆78Updated 2 years ago
- PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), Res…☆37Updated last year
- Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for inference and fine-tuning.☆12Updated last year
- TensorFlow implementation of the "Prompt-to-Prompt Image Editing with Cross Attention Control" for Stable Diffusion☆15Updated 2 years ago
- The Objective is to implement Siamese Network for Face Recognition using Pytorch Lightning.☆18Updated 4 years ago