modelcheckpoint

There are 7 repositories under modelcheckpoint topic.

  • pooya-mohammadi/deep_utils

    An open-source toolkit which is full of handy functions, including the most used models and utilities for deep-learning practitioners!

    Language:Python10922215
  • RoySadaka/lpd

    A Fast, Extensible Trainer and Extensions for Pytorch

    Language:Python7111
  • harshd23/Food_Vision

    The purpose of Food Vision project is to classify 101 variety of food items using Machine Learning.

    Language:Jupyter Notebook2100
  • mdaiyub/COVID-19-Detection

    The emergence of Coronavirus Disease 2019 (COVID-19) in early December 2019 has caused immense damage to health and global well-being. Currently, there are approximately five million confirmed cases and the novel virus is still spreading rapidly all over the world. The chest X-ray images along with emerging Artificial Intelligence (AI) methodologies, in particular, Deep Learning (DL) algorithms have recently become a worthy choice for early COVID-19 screening. This work proposes a DL-assisted automated method using X-ray images for the early diagnosis of COVID-19 infection. We evaluate the effectiveness of the pre-trained Convolutional Neural Network (CNN) model. The model has been validated on publicly available chest X-ray images and it is obtained by CNN with an accuracy of 97.26%. This study will be useful for researchers to think about the design of more effective CNN-based models for early COVID-19 detection.

    Language:Jupyter Notebook110
  • Preetirai-tech/Brain-Tumor-Detection

    This project aims to develop an advanced DL model using CNN to accurately detect and classify brain tumors from MRI scans.

    Language:Jupyter Notebook1100
  • harmanveer-2546/Pistachio-Detection

    Pistachios are nutritious nuts that are sorted based on the shape of their shell into two categories: Open mouth and Closed mouth. The open-mouth pistachios are higher in price, value, and demand than the closed-mouth pistachios. Because of these differences, it is considerable for production companies to precisely count the number of each kind.

    Language:Jupyter Notebook0100
  • nishantt007/California_housing_DL

    A Deep Learning model for California housing dataset using Functional API with Wide & Deep neural network architecture along with ModelCheckpoint and EarlyStopping callbacks.

    Language:Jupyter Notebook0100