Discover alinowshad/Plant-Image-Classification Open Source project

Stars
1
Language
Jupyter Notebook
Created over 1 year ago
Updated 11 months ago

alinowshad

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

In this project we aimed to classify species of plants, which are divided into categories according to the species of the plant to which they belong. Being a classification problem, given an image, the goal is to predict the correct class label.

DeepLeukemiaNet

An Efficient Approach for Segmentation and Classification of Acute Lymphoblastic Leukemia via Optimized Spike-based Network

Jupyter Notebook

Deep-Residual-COVID-Net

This program is belong to A Novel Method for Detection of COVID-19 Cases Using Deep Residual Neural Network research article.

Jupyter Notebook

scikit_learn_classifiers

accuracy of the scikit_learn classifiers

Python

Neural-Networks

in this section we build a simple neural net using python

Jupyter Notebook

Convolutional_Neural_Network

object detection using Convolutional Neural Network (using only numpy lib)

Jupyter Notebook

Contrastive-Language-Image-Pretraining-Model-CLIP

Jupyter Notebook

LogisticRegressionModel

creating a LogisticRegressionModel for classification of 32000 of employee data

Python

Prediction-Of-Coronavirus-Confirmed-White-Linear-Regression

we use GRADIENT DESCENT to find the best fitting line

Jupyter Notebook

Acute-Lymphoblastic-Leukemia-Detection-using-ResNet50

Development of Classification Model for Acute Lymphoblastic Leukemia Detection using ResNet50

Jupyter Notebook

TimeSeriesClassification

In this project, we aimed to correctly classify samples in the multivariate time series format. In other words, since this is a classification problem, the objective is to correctly map the information contained in the features calculated over time to their labels.

Jupyter Notebook

alinowshad/Plant-Image-Classification

alinowshad

Reviews

Repository Details

More Repositories