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

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

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

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

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

Numerically compute the Receptive Field of a conv block in PyTorch

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

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

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.

Program implements a convolutional neural network for classifying images of numbers in the MNIST dataset as either even or odd using GPU framework.