Topic: fine-tuning-cnns Goto Github
Some thing interesting about fine-tuning-cnns
Some thing interesting about fine-tuning-cnns
fine-tuning-cnns,Online machine learning competition for high school students.
User: abarankab
fine-tuning-cnns,Mask RCNN model for instance segmentation of power cables for infrastructure inspection purposes.
User: adityamwagh
fine-tuning-cnns,DL pre-trained mode fine-tuning for cat-dog classification example
User: ahmedaakl
fine-tuning-cnns,The project aims to detect the faces and to determine whether the person wears a face mask or not.
User: anuvrat2407
fine-tuning-cnns,QuickCNN is high-level library written in Python, and backed by the Keras, TensorFlow, and Scikit-learn libraries. It was developed to exercise faster experimentation with Convolutional Neural Networks(CNN). Majorly, it is intended to use the Google-Colaboratory to quickly play with the ConvNet architectures. It also allow to train on your local system.
User: cg1507
fine-tuning-cnns,Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.
Organization: cvjena
fine-tuning-cnns,ImageNet pre-trained models with batch normalization for the Caffe framework
Organization: cvjena
Home Page: https://arxiv.org/abs/1612.01452
fine-tuning-cnns,Keras implementation of multi-label classification of movie genres from IMDB posters
User: d-misra
fine-tuning-cnns,Code examples for training AlexNet using Keras and Theano
User: duggalrahul
fine-tuning-cnns,Fine-tuning Language Models with Conditioning on Two Human Preferences
User: ezermoysis1
Home Page: https://drive.google.com/file/d/1-lac-XNLTj-8RI8X6_g2iqUPp0JDxfWo/view
fine-tuning-cnns,A Convolution Neural Network Model for predicting various types of food.
User: fidelm345
fine-tuning-cnns,From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction
Organization: imatge-upc
fine-tuning-cnns,Fine-tuning an already learned model, adapts the architecture to other datasets
User: junyuseu
fine-tuning-cnns,Implementation on tensorflow fine tuning of generic CNN based model
User: kleinyuan
fine-tuning-cnns,An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.
User: knjcode
fine-tuning-cnns,
User: knjcode
fine-tuning-cnns,Image classification using both non-DL and DL approaches. Some interesting techniques are included like SIFT-feature extraction and multiple kernel learning (MLK).
User: louisvanlangendonck
fine-tuning-cnns,Using Pytorch with Django To distinguish Cats from Dogs by Fine Tuning pretrained Model.
User: nikamrohan
fine-tuning-cnns,Pretrained VGG-16 network as feature extractor for Object Recognition (Python, Keras, Scikit-Learn)
User: nmeripo
fine-tuning-cnns,animal is good
Organization: no-free-lunch
fine-tuning-cnns,Switching from GPU to the future of Machine learning the TPU. Over 1 million images trained Resnet50 in under 20 mins compared to days or weeks on GPU and all for 0$ free on Google Colab Notebooks in Google Drive, clone repo and jump right in!!
User: rishabhindoria
fine-tuning-cnns,This project focuses on accurately classifying images of cats, dogs, and snakes using Convolutional Neural Networks (CNNs) in PyTorch. A custom CNN model was initially designed and trained, achieving strong classification performance. Additionally, state-of-the-art (SOTA) pre-trained image classification models such as AlexNet, ResNet50, and VGG16.
User: sayamalt
fine-tuning-cnns,This project focuses on classifying distinct weather images using Convolutional Neural Networks (CNN) built from scratch and fine-tuning various state-of-the-art (SOTA) pre-trained models like AlexNet, ResNet50, VGG16, and MobileNet v3 Large. The models are trained and evaluated on a custom weather dataset, leveraging PyTorch for deep learning.
User: sayamalt
fine-tuning-cnns,image processing task I did using fine-tuning, DCNNs and common data augmentation techniques. dataset consisted of 1600 x-ray images of human stomach which included 800 each of pylori(helicobacter) positive and negative. augmented the dataset using common data augmentation techniques.
User: sukhbat112
fine-tuning-cnns,Ongoing minor project
User: vikram-mm
fine-tuning-cnns,This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.
User: ysh329
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.