Compute CNN receptive field size in pytorch in one line

Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)

A toolbox for receptive field analysis and visualizing neural network architectures

Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer

Numerical Computation of Receptive Field in Pytorch

High-Performance Transformers for Table Structure Recognition Need Early Convolutions

An implementation of Olshausen and Field (96) in PyTorch

[BMVC 2024] Official repository of the paper titled "MSA^2 Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation"

A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.

Implementation of research paper : "PraNet: Parallel Reverse Attention Network for Polyp Segmentation" in Tensorflow

An implementation of DetNet with Keras.

Extract the receptive field of a fully connected cnn.

Python program to calculate and visualize effective receptive field of a layer in deep convolution neural network

Often we spend lots of time calculating the Receptive field of a CNN model.This Module can calculate the receptive field, Output image size from a model object

Compute the theoretical/analytical receptive field of deep neural networks in plain Python.

Numerically compute the Receptive Field of a conv block in PyTorch

This repo contains submissions of all assignments of a EVA by TSAI

A fast and versatile implementation of spike-triggered non-negative matrix factorization (STNMF) based on accelerated/fast HALS algorithms

This repository serves as a collection of implementations and resources for various computational neuroscience techniques, including Hopfield's network,hebbian learning and common spatial patterns etc.

Compute receptive fields as input masks for single neurons in any CNN written in PyTorch.