There are 4 repositories under cnn-classification topic.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Python Library for Model Interpretation/Explanations
A Benchmark of Text Classification in PyTorch
This repository contains the source code of our work on designing efficient CNNs for computer vision
🔥 Reproducibly benchmarking Keras and PyTorch models
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
A Complete and Simple Implementation of MobileNet-V2 in PyTorch
Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.
CNN image classifier implemented in Keras Notebook 🖼️.
📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.
implement AlexNet with C / convolutional nerual network / machine learning / computer vision
GroupSoftmax cross entropy loss function for training with multiple different benchmark datasets
This repository explores the variety of techniques and algorithms commonly used in deep learning and the implementation in MATLAB and PYTHON
Breast Cancer Classification using CNN and transfer learning
Projects from the Deep Learning Specialization from deeplearning.ai provided by Coursera
PyTorch tutorials A to Z
The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper
This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytorch, train, and eval codes have been released.
All the code files related to the deep learning course from PadhAI
Code to reproduce 'Deep Learning for Decentralized Parking Lot Occupancy Detection' paper.
MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.
Image Classification using Keras as well as Tensorflow.
✅ CODAR is a framework built using PyTorch to analyze post (Text+Media) and predict cyber bullying and offensive content.
Potato Disease Classification - Training, Rest APIs, and Frontend to test.
Squeezenet V1.1 on Cyclone V SoC-FPGA at 450ms/image, 20x faster than ARM A9 processor alone. A project for 2017 Innovate FPGA design contest.
Rede Neural Convolucional para reconhecimento de gestos em LIBRAS (Alfabeto) Projeto 01/2019 - Ciência da Computação (Universidade Anhembi Morumbi)
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
This model is meant to help triage patients (prioritize certain patients for testing, quarantine, and medical attention) that require diagnosis for COVID-19. This model is not meant to diagnose COVID-19.
A C++ implementation to create, visualize and train Convolutional Neural Networks
Crime detection in cctv footage using deep learning
Extract and solve sudoku from an image using Computer Vision and Deep Learning
A numpy based CNN implementation for classifying images
Job prediciton based on NLP models.
:smile: Models for CIFAR10 including vit, swin transformer, CvT,coatnet,mobilevit etc 收集CNN和Transformer架构，欢迎PR