Multi-class confusion matrix library in Python

Fast and customizable framework for automatic ML model creation (AutoML)

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

This library has been moved to https://github.com/ntumlgroup/LibMultiLabel

Image classification on Tiny ImageNet

AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset

Balanced Multiclass Image Classification with TensorFlow on Python.

Hierarchical self-organizing maps for unsupervised pattern recognition

alternative illustration2vec implitation of sigmoids of fully connected layer

This repository is containing an object classification & localization project for SINGLE object.

🔱 Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.

Focal Loss implementation of the loss function proposed by Facebook AI Research to address class imbalance during training in tasks like object detection

Open source implementation of Logical Analysis of Data (LAD) Algorithm.

Multiple Class Flower Image Classification CNN using Keras

An easy-to-use scikit-learn inspired implementation of the Multidimensional Multiclass Genetic Programming with Multidimensional Populations (M3GP) algorithm

This repository contains Python code for an age and gender detection project using the video stream from the camera. The model is trained on the UTKFace dataset and utilizes deep learning techniques for accurate age and gender estimation. The code includes scripts for data preprocessing, model training, and real-time detection from the camera.

Simple Image Heads and Layers for deep learning based computer vision

Sleep stage classification using Gradient Boosted Classifier