There are 7 repositories under multiclass-classification topic.
Multi-class confusion matrix library in Python
Fast and customizable framework for automatic ML model creation (AutoML)
Deep Learning sample programs using PyTorch in C++
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
2017-CCF-BDCI-让AI当法官(初赛):7th/415 (Top 1.68%)
This library has been moved to https://github.com/ntumlgroup/LibMultiLabel
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
Image classification on Tiny ImageNet
Multiclass image classification using Convolutional Neural Network
Balanced Multiclass Image Classification with TensorFlow on Python.
TensorFlow in Practice Specialization. Join our Deep Learning Adventures community 🎉 and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting 😀 All while having fun learning and participating in our Deep Learning Trivia games 🎉 http://bit.ly/deep-learning-tf
Hierarchical self-organizing maps for unsupervised pattern recognition
Automate detection of different emotions from paragraphs and predict overall emotion.
Python library for morphological cleaning of multiclass 2D numpy arrays (edge smoothing and island removal
The purpose of this project's design, development, and structure is to create an end-to-end Machine Learning Operations (MLOps) lifecycle to classify an individual's level of obesity based on their physical characteristics and eating habits.
Focal Loss implementation of the loss function proposed by Facebook AI Research to address class imbalance during training in tasks like object detection
This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.
"20 newsgroups" dataset - Text Classification using Multinomial Naive Bayes in Python.
Practical ML and NLP with examples.
XGBoost Medium article code
A case study on Pfam dataset to classify protein families.
Repository for My HuggingFace Natural Language Processing Projects
Predicting the results of matches in European leagues
This project utilizes a sophisticated deep learning model trained to classify breast ultrasound images into three categories: benign, malignant, or normal, thus determining the presence of breast cancer.
Corporate Credit Rating Prediction with AWS SageMaker JumpStart
This repository is containing an object classification & localization project for SINGLE object.
:trident: 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.
Reservoir computing library for .NET. Enables ESN , LSM and hybrid RNNs using analog and spiking neurons working together.
This Problem is based on a Image Data set consisting of different types of weeds, to detect them in crops and fields. I have used Deep Learning Model called CNN(Convolutional Neural Networks) with Dropout, Batch Normalization, ReduceLearning rate on plateau, Early stoppig rounds, and Transposd Convolutional Neural Networks.
A Natural Language Processing based project that aims at categorizing e-commerce products based on their description using Machine Learning and Deep Learning techniques (implemented using PyTorch).