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

• UpdatedNov 26, 2017
• Python

Code examples for training AlexNet using Keras and Theano

• UpdatedApr 10, 2017
• Jupyter Notebook

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

• UpdatedNov 2, 2018
• Jupyter Notebook

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

• UpdatedSep 7, 2021
• Python

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

• UpdatedJan 3, 2018
• Jupyter Notebook

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

• UpdatedOct 18, 2017
• Python

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

• UpdatedOct 25, 2017
• Python

Keras implementation of multi-label classification of movie genres from IMDB posters

• UpdatedMay 14, 2020
• Jupyter Notebook

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.

• UpdatedOct 29, 2017

• UpdatedOct 3, 2023
• Python

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…

• UpdatedDec 29, 2018
• Python

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!!

• UpdatedMay 4, 2019
• Jupyter Notebook

Implementation on tensorflow fine tuning of generic CNN based model

• UpdatedOct 19, 2017
• Python

Ongoing minor project

• UpdatedSep 4, 2018
• Python

Mask RCNN model for instance segmentation of power cables for infrastructure inspection purposes.

• UpdatedAug 10, 2022
• Jupyter Notebook

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

• UpdatedDec 26, 2022
• Jupyter Notebook

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

• UpdatedOct 11, 2021
• Jupyter Notebook

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

• UpdatedMay 12, 2020
• Python

Online machine learning competition for high school students.

• UpdatedOct 13, 2020
• Jupyter Notebook

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.

• UpdatedOct 16, 2024
• Python