cnn-classification

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

基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容

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

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.

CNN image classifier implemented in Keras Notebook 🖼️.

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

The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper

PyTorch tutorials A to Z

Potato Disease Classification - Training, Rest APIs, and Frontend to test.

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.