fine-tuning-cnns | Topic | Ecosyste.ms: Repos

Topic: "fine-tuning-cnns"

cvjena/cnn-models

ImageNet pre-trained models with batch normalization for the Caffe framework

Language: Python - Size: 3.36 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 361 - Forks: 161

duggalrahul/AlexNet-Experiments-Keras

Code examples for training AlexNet using Keras and Theano

Language: Jupyter Notebook - Size: 3.9 MB - Last synced at: 5 months ago - Pushed at: about 8 years ago - Stars: 107 - Forks: 53

knjcode/mxnet-finetuner

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

Language: Jupyter Notebook - Size: 523 KB - Last synced at: 19 days ago - Pushed at: over 6 years ago - Stars: 105 - Forks: 9

imatge-upc/sentiment-2017-imavis

From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction

Language: Python - Size: 2.5 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 99 - Forks: 37

cvjena/alpha_pooling

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

Language: Jupyter Notebook - Size: 32.2 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 49 - Forks: 5

junyuseu/fine-tuning

Fine-tuning an already learned model, adapts the architecture to other datasets

Language: Python - Size: 573 KB - Last synced at: 4 months ago - Pushed at: over 7 years ago - Stars: 28 - Forks: 35

nmeripo/Identifying-Clothing-Attributes

Pretrained VGG-16 network as feature extractor for Object Recognition (Python, Keras, Scikit-Learn)

Language: Python - Size: 57.6 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 27 - Forks: 9

ysh329/awesome-deep-learning-finetune-experience

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.

Size: 11.7 KB - Last synced at: 12 days ago - Pushed at: over 7 years ago - Stars: 16 - Forks: 8

knjcode/pytorch-finetuner

Language: Python - Size: 39.1 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 3

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.

Language: Python - Size: 287 KB - Last synced at: 17 days ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 4

KleinYuan/tf-ft

Implementation on tensorflow fine tuning of generic CNN based model

Language: Python - Size: 104 KB - Last synced at: 25 days ago - Pushed at: over 7 years ago - Stars: 6 - Forks: 0

vikram-mm/Traffic-Sign-Detection-YOLO

Ongoing minor project

Language: Python - Size: 26.4 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 1

LouisVanLangendonck/UPC-AML-ArchitectureImageClassif

Image classification using both non-DL and DL approaches. Some interesting techniques are included like SIFT-feature extraction and multiple kernel learning (MLK).

Language: Jupyter Notebook - Size: 2.96 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

FidelM345/FoodPredictor

A Convolution Neural Network Model for predicting various types of food.

Language: Jupyter Notebook - Size: 7.16 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

NikamRohan/Cats-vs-Dogs

Using Pytorch with Django To distinguish Cats from Dogs by Fine Tuning pretrained Model.

Language: Python - Size: 14.6 KB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

SayamAlt/Natural-Scenes-Image-Classification-using-CNNs

Successfully established an image classification model using PyTorch to classify the images of several distinct natural sceneries such as mountains, glaciers, forests, seas, streets and buildings with an accuracy of 86%.

Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SayamAlt/Brain-Tumor-Image-Classification

Successfully developed an image classification model to classify images of distinct types of brain tumors such as glioma tumor, meningioma tumor, pituitary tumor, etc.

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1

ranfysvalle02/cnn-transfer-learning

The provided code demonstrates transfer learning by adapting a model trained using synthetic data to classify circles, squares, and triangles to classify new shapes like stars and pentagons. By fine-tuning a pre-trained model originally designed for a different task, the repository showcases how to efficiently adapt a model to a new domain.

Language: Python - Size: 242 KB - Last synced at: 17 days ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

sukhbat112/pylori-detection-DCNN

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.

Language: Python - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

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