Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Multi-class confusion matrix library in Python

BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagg…

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting

Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)

✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmentation

Karma of Humans is AI

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

A very basic implementation of Logistic Regression classifier in python.

Python class for calculating confusion matrix for object detection task

Seamlessly integrate matplotlib figures as tensorflow summaries.

Confusion matrix for Mask R-CNN (Matterport implementation)

Predicting air pollution level in a specific city

Machine learning utility functions and classes.

Measure and visualize machine learning model performance without the usual boilerplate.

Deep learning for freehand sketch object recognition

Keras VGG implementation for CIFAR-10 classification Tutorial

This toolbox offers convolution neural networks (CNN) using k-fold cross-validation, which are simple and easy to implement.