Use transfer learning for large image classification
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Updated
May 23, 2024 - Jupyter Notebook
Use transfer learning for large image classification
Pytorch based Android app, which classifies images using MobileNet-V2 model, takes image using CameraX API
Models with variable output classes designed for Imagenet-1k.
InceptionV3 based image classifier
Vector Search Application for Image Similarity Search, specifically designed for medical X-rays, leveraging ResNet50, Chest-XRay dataset and Milvus vector database
Personal notebook on various maths and coding topics
Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.
Identify objects in images using a third-generation deep residual network.
Tensorflow implementations of ConvNeXt V1 + V2 models w/ weights, including conversion and evaluation scripts.
Basic Use of a pretrained on ImageNet Classifier + demonstrating the use of StreamLit WebUI
Image Classification with Keras: Predicting Images using Trained CNN with ImageNet Dataset.
This is a project including most of the CNN backbones
【瑞士军刀般的工具】用最短的代码完成对模型的分析,包含 ImageNet Val、FLOPs、Params、Throuthput、CAM 等
This repository incorporates different simple CNN implementations into different datasets that can be found from Keras datasets
Machine Learning (Imagenet) User Interface Demo application using Streamlit
A codebase & model zoo for pretrained backbone based on MegEngine.
PyTorch implementation of deep CNNs
Machine learning API implementation using FastAPI
This repository contains the source code of our work on designing efficient CNNs for computer vision
Node.js API for Image object detection using tensorflow.js
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