Projects in Awesome Lists tagged with multi-class-classification
A curated list of projects in awesome lists tagged with multi-class-classification .
https://github.com/zhiningliu1998/imbalanced-ensemble
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
class-imbalance classification data-mining data-science ensemble ensemble-imbalanced-learning ensemble-learning ensemble-model imbalanced-classification imbalanced-data imbalanced-learning long-tail machine-learning multi-class-classification python python3 scikit-learn sklearn
Last synced: 15 May 2025
https://github.com/ZhiningLiu1998/imbalanced-ensemble
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库
class-imbalance classification data-mining data-science ensemble ensemble-imbalanced-learning ensemble-learning ensemble-model imbalanced-classification imbalanced-data imbalanced-learning long-tail machine-learning multi-class-classification python python3 scikit-learn sklearn
Last synced: 11 Apr 2025
https://github.com/codelion/adaptive-classifier
A flexible, adaptive classification system for dynamic text classification
adaptive-learning adaptive-neural-network bert classifier continous-learning distilbert elastic-weight-consolidation embeddings faiss large-language-models llms machine-learning multi-class-classification multi-label-classification neural-layers neural-networks online-learning roberta text-classification transformers
Last synced: 10 Jun 2025
https://github.com/ing-bank/probatus
SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
binary-classifiers data-analysis data-science feature-elimination machine-learning multi-class-classification recursive-feature-elimination regressors shap statistics tree-model
Last synced: 07 Apr 2025
https://github.com/MaharshSuryawala/Food-Image-Recognition
A system that takes food images as an input, recognizes the food automatically and gives the nutritional-facts as an output.
artificial-intelligence deep-learning deep-neural-networks food-101 food-classification food-image-recognition google-colab google-colaboratory inception-v3 jupyter-notebook machine-learning multi-class-classification nutrition nutrition-information python3 usda-nutrient-database
Last synced: 02 May 2025
https://github.com/mwydmuch/napkinxc
Extremely simple and fast extreme multi-class and multi-label classifiers.
classification datasets extreme-classification hsm label-tree-classifiers machine-learning multi-class-classification multi-label-classification plt probabilistic-label-trees python xmlc
Last synced: 15 May 2025
https://github.com/mwydmuch/napkinXC
Extremely simple and fast extreme multi-class and multi-label classifiers.
classification datasets extreme-classification hsm label-tree-classifiers machine-learning multi-class-classification multi-label-classification plt probabilistic-label-trees python xmlc
Last synced: 11 May 2025
https://github.com/taishan1994/pytorch_bert_multi_classification
基于pytorch_bert的中文多标签分类
bert multi-class-classification pytorch
Last synced: 04 Apr 2025
https://github.com/mainakrepositor/stress-level-detector
Detects the stress level of an individual using Machine Learning Algorithms
decision-tree-classifier detection-model machine-learning mental-health-awareness mini-project multi-class-classification python3 slider-component streamlit-webapp stress-level
Last synced: 03 Sep 2025
https://github.com/arvindshmicrosoft/yelpdatasetsql
Working with the Yelp Dataset in Azure SQL and SQL Server
azuresql azuresqldb graph machine-learning mssql multi-class-classification r-server sql-server t-sql text-analysis yelp yelp-challenge yelp-dataset yelp-dataset-analysis
Last synced: 15 Apr 2025
https://github.com/siddh30/The-Airbnb-Classification-Project
This project is from the Airbnb Recruitment Challenge on Kaggle. The challenge is to solve a multi-class classification problem of predicting new users first booking destination.
airbnb binary-classification data-mining kaggle-challenge multi-class-classification r-programming
Last synced: 30 Jul 2025
https://github.com/danieldacosta/rnn-keras
Building a Multi-Label Classifier doesn't seem a difficult task using Keras, but when you are dealing with a highly imbalanced dataset with more than 30 different labels and with multiple losses it can become quite tricky.
keras multi-class-classification multi-label-classifier multiple-losses-rnn rnn
Last synced: 09 Aug 2025
https://github.com/DanielDaCosta/RNN-Keras
Building a Multi-Label Classifier doesn't seem a difficult task using Keras, but when you are dealing with a highly imbalanced dataset with more than 30 different labels and with multiple losses it can become quite tricky.
keras multi-class-classification multi-label-classifier multiple-losses-rnn rnn
Last synced: 05 May 2025
https://github.com/chen0040/java-adaptive-resonance-theory
Package provides java implementation of algorithms in the field of adaptive resonance theory (ART)
adaptive-resonance-theory art1 artmap classification fuzzyart multi-class multi-class-classification neural-network supervised-learning unsupervised-learning
Last synced: 15 Aug 2025
https://github.com/chen0040/java-libsvm
Package provides the direct java conversion of the origin libsvm C codes as well as a number of adapter to make it easier to program with libsvm on Java
anomaly-detection binary-classification java libsvm libsvm-format multi-class-classification one-class-learning outlier-detection regression supervised-learning svm unsupervised-learning
Last synced: 01 Jul 2025
https://github.com/mainakverse/eye-disease-detector
This application uses deep learning to analyze eye images and detect various diseases.
artificial-intelligence-algorithms eye-disease-recognition generative-ai multi-class-classification streamlit tailwindcss
Last synced: 12 Sep 2025
https://github.com/fardinhash/multilabel-classification-llm
Multi-label classification using LLMs, with additional enhancements using quantization and LoRA (Low-Rank Adaptation). Get better performance on GPU.
bert-classification classification gpt-4 large-language-models llm mistral-7b multi-class-classification multi-label-classification multiclass-classification multilabel-classification t5 text-classification
Last synced: 04 Mar 2025
https://github.com/sudhanshu-ambastha/multiple-disease-prediction-bot
This a multiple disease prediction based on user input which can predict upto 40 disease and trained on 131 parameters
131-parameters 41-diseases anaconda-environment anaconda3 diabetes-prediction disease-prediction heart-disease-prediction kaggle-dataset multi-class-classification multiple-disease-prediction-using-machine-learning python spyder-python-ide streamlit-webapp
Last synced: 06 Oct 2025
https://github.com/muhammedbuyukkinaci/multilayer-perceptron-with-tensorflow
Multilayer Perceptron with TensorFlow on Iris dataset
artificial-neural-networks basic-neural-network basic-neural-network-python feed-forward-neural-networks iris iris-dataset k-fold multi-class-classification multi-class-perceptron multi-layer-perceptron multiclass-classification multilayer-neural-network multilayer-perceptron tensorflow
Last synced: 26 Mar 2025
https://github.com/chen0040/js-svm
Package provides javascript implementation of support vector machines
binary-classification kernel-svm kernels linear-svm multi-class-classification support-vector-machines
Last synced: 15 Aug 2025
https://github.com/ltfschoen/aind2-rnn
Term 2 Project 2 RNN and LSTM for time-series prediction and text generation
jupyter-notebook keras lstm-networks multi-class-classification recurrent-neural-networks
Last synced: 03 Aug 2025
https://github.com/m0kr4n3/protein_location_prediction_chall
Proposed Solution for `Protein Location Prediction Challenge` by AI Hack Tunisia 2022
biology classification machine-learning multi-class-classification
Last synced: 10 Jun 2025
https://github.com/sushant1827/machine-learning-for-predictive-maintenance
Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.
binary-classification classification-report confusion-matrix data-imbalance data-visualization decision-tree-classifier exploratory-data-analysis feature-engineering feature-importance feature-selection gradient-boosting-classifier imbalanced-data multi-class-classification roc-auc-curve
Last synced: 12 Apr 2025
https://github.com/krishnaura45/predict-obesity-levels
📚Obesity Risk Detection 🧩Gradient Boosting 🔧Hyperparameter Tuning
accuracy-score episode2 kaggle-competition multi-class-classification playground season4 time-series-analysis
Last synced: 25 Jan 2026
https://github.com/xx025/pictag
Image classifier, Build image classification datasets efficiently. 图片分类器、高效构建图片分类数据集。
image-annotation-tool image-classification image-classifier image-dataset multi-class-classification
Last synced: 24 Dec 2025
https://github.com/jwcarman/netwerx
A lightweight, extensible deep learning library for Java
ai autoencoders binary-classification machine-learning multi-class-classification neural-networks regression-models
Last synced: 29 Jun 2025
https://github.com/hxndev/k-means-knn-and-davies-bouldin-index-on-multi-class-dataset
Calculating DB index, KNN and K-Means from the given dataset
code colab-notebook db-index jupyter-notebook k-means k-means-clustering k-means-implementation-in-python kmeans-clustering knn knn-algorithm knn-classifier multi-class-classification multi-class-dataset python
Last synced: 31 Mar 2025
https://github.com/zubayear/machine-learning
Machine learning projects i have done so far in various training program and at the University.
artificial-neural-networks credit-card knn-algorithm logistic-regression lstm-neural-networks machine-learning multi-class-classification svm-classifier text-classification
Last synced: 28 Feb 2025
https://github.com/sushantdhumak/machine-learning-for-predictive-maintenance
Demonstrate the application of machine learning on a real-world predictive maintenance dataset, using measurements from actual industrial equipment.
binary-classification classification-report confusion-matrix data-imbalance data-visualization decision-tree-classifier exploratory-data-analysis feature-engineering feature-importance feature-selection gradient-boosting-classifier imbalanced-data multi-class-classification roc-auc-curve
Last synced: 26 Mar 2025
https://github.com/katavinanguyen/hybrid_sentiment_analysis_engine_for_ugc
Built to help researchers and marketers extract actionable sentiment insights from noisy, context-heavy online content. A hybrid sentiment analysis engine for UGC, combining LDA topic modeling with Neuro-Symbolic Transformers. Achieves 81% accuracy and outperforms baselines by 14%.
huggingface lda multi-class-classification neuro-symbolic-ai nlp python sentiment-analysis transformers user-generated-content
Last synced: 17 Jul 2025
https://github.com/ashishbodhankar/image_classification_kaggle_fgvc21
Finetuned pretrained-CNN architectures on Kaggle's FGVC21 plant pathology dataset (Implemented in Keras)
cnn-classification cnn-image-classification cnn-keras efficientnetb1 inception-resnet-v2 kaggle-competition kaggle-dataset multi-class-classification
Last synced: 01 Jul 2025
https://github.com/saman-nia/multiclass-classification
Deep Learning VS. Machine learning
classification deep-learning logistic-regression multi-class-classification multi-classify-with-tensorflow one-vs-rest scikit-learn tensorflow text-features
Last synced: 14 Oct 2025
https://github.com/heisenberg141/deep-learning-from-scratch
In this repository, I have showcased implementation of deep learning methodologies and architectures using Python and Numpy
algorithms binary-classification computer-vision data-science deep-learning deep-neural-networks implementation machine-learning multi-class-classification neural-network numpy python regression-models
Last synced: 04 Aug 2025
https://github.com/dhruvsrikanth/boosting-theory
A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. Finally, an overview over boosting algorithms and models employed in industry.
adaboost binary-classification boosting boosting-algorithms gradient-boosting machine-learning multi-class-classification research-paper weak-learning weak-learning-conditions xgboost
Last synced: 06 Oct 2025
https://github.com/inoueakimitsu/milwrap
Wrapping single instance learning algorithms for fitting them to data for multiple instance learning
large-data machine-learning multi-class-classification multiple-instance-learning python sklearn
Last synced: 07 May 2025
https://github.com/vidhi1290/scienceqa-insights-exploring-with-llms
Predictive Text Analysis project! This repository contains code for predicting answers to science exam questions using advanced natural language processing techniques. Check out the code and results!
interactive-visualizations kaggle kaggle-competition machine-learning multi-class-classification nlp nlp-machine-learning predictive-text-analysis random-forest-classifier text-analysis text-vectorization
Last synced: 28 Mar 2025
https://github.com/aaaastark/intrusion-detection-system-mqtt-enabled-iot
Intrusion Detection System for MQTT Enabled IoT.
artifical-neural-network binary-classification classification-report data-processing data-visualization deep-learning feature-extraction intrusion-detection-system keras-tensorflow mean-absolute-error mean-squared-error mqtt mqtt-protocol mqtt-server multi-class-classification r2-score root-mean-square-error sklearn
Last synced: 11 Oct 2025
https://github.com/razamehar/synthetic-to-real-image-classifier
The CGI2Real_Multi-Class_Image_Classifier categorizes humans, horses, or both using transfer learning from Inception CNN. Trained on synthetic images, it can also classify real ones.
convolutional-neural-networks image-classification inceptionv3 multi-class-classification python real-image-classification synthetic-images tensorflow
Last synced: 18 Mar 2025
https://github.com/cschen1205/cs-svm
C# implementation of Support Vector Machines
binary-classificaiton multi-class-classification support-vector-machines svm
Last synced: 24 Mar 2025
https://github.com/sroman0/web-inf
Neural Network for Multi-Class Classification is a project developed during the "Web and Information Retrieval" course at Università degli Studi del Sannio. This repository provides an implementation of a neural network with a softmax output layer, designed for multi-class classification tasks.
classification data-preprocessing data-science deep-learning educational-project jupyter-notebook machine-learning model-evaluation multi-class-classification neural-network python tensorflow web-information-retrieval
Last synced: 02 Mar 2025
https://github.com/mariam-zaidi/monkey-pox_detection-thesis
M-Pox detection using deep learning models and eXplainable AI
cnn deep-learning explainable-ai layerwiserelevancepropogation medical-imaging multi-class-classification smote transfer-learning
Last synced: 28 Feb 2025
https://github.com/jamnicki/yoga-pose-ensemble-clf
University course project: Machine learning -- Ensemble learning strategies comparison on classification quality for imbalanced data
ensemble-learning imbalanced-data machine-learning multi-class-classification
Last synced: 07 Apr 2025
https://github.com/lasyakonduru/cifar-10-image-classification-with-cnns-baseline-and-enhanced-models
This project focuses on multi-class image classification using CNNs with the CIFAR-10 dataset. It compares a baseline and an enhanced model to classify 10 categories, including trucks, for real-world applications like preventing deer-vehicle collisions. Includes architecture, training, and evaluation insights.
cifar10 computer-vision convolutional-neural-networks deep-learning image-classification keras machine-learning multi-class-classification tensorflow
Last synced: 29 Dec 2025
https://github.com/suryavamsi-p/diabetic-retinopathy-detection-with-resnet50
Built an end-to-end deep learning pipeline using ResNet-50 to classify retinal images into five stages of Diabetic Retinopathy. Applied transfer learning, image preprocessing, and AUC-based evaluation on the APTOS 2019 Kaggle dataset, achieving a 94% validation AUC—offering real-world potential in clinical diagnosis automation.
aptos2019 auc-evaluation clinical-decision-support cnn-model computer-vision data-augmentation deep-learning diabetic-retinopathy early-detection healthcare-ai image-classification keras medical-diagnosis medical-imaging multi-class-classification optical-imaging resnet50 retinal-image-analysis tensorflow transfer-learning
Last synced: 05 Jul 2025
https://github.com/sathviknayak123/image-classification-with-mlops
End-toEnd Data Science Project with Transfer Learning and MLOps
aws dagshub deeplearning docker dvc ec2-instance flask-application github-actions-ci-cd image-classfication mlflow-tracking mlops mongodb-atlas multi-class-classification transferlearning vgg16
Last synced: 13 Aug 2025
https://github.com/onome-joseph/nlp_cnn_classification
This project implements accurate tags or specifications to problems, or user complaints based on input text. The model is designed using neural networks to process data quickly and deliver high-performance results.
cnn-classification data-science deep-neural-networks multi-class-classification natural-language-processing
Last synced: 29 Jul 2025
https://github.com/ltfschoen/dog-project
Term 2 Project 1 Dog Breed Classifier and human face detector using ImageNet, superhuman CNNs, and Haar Cascades
aws-ec2 bottleneck convolutional-neural-networks gpu-computing haar image-augmentation image-classification keras multi-class-classification resnet-50 transfer-learning
Last synced: 20 Aug 2025
https://github.com/arshdeepyadavofficial/brain-tumor-detection-and-classification
Enhanced MRI Brain Tumor Detection using a Hybrid Deep Learning + Machine Learning model. Combines MobileNetV2 & SVM to classify tumors (Glioma, Meningioma, Pituitary, No Tumor) from contrast MRI. Achieves ~93% accuracy via transfer learning & augmentation.
brain-tumor cnn computer-science deep-learning grad-cam healthcare hybrid-model image-classification keras medical-diagnosis medical-imaging mobilenet-v2 mri-classification multi-class-classification svm tensorflow transfer-learning tumor-classification tumor-detection
Last synced: 05 Jul 2025
https://github.com/pilarcode/action-recognition-in-videos
Action Recognition (dance styles) in videos.
multi-class-classification video-classification
Last synced: 19 Sep 2025
https://github.com/kelixirr/arxiv34k4l
Multi-label text classification project on Arxiv data using NLP
multi-class-classification nlp
Last synced: 05 Apr 2025
https://github.com/somjit101/nlp-stackeroverflow-tag-prediction
A multi-class classification problem where the objective is to read a question posted on the popular reference website, StackOverflow and predict the primary topics it deals with, i.e. tags which the question will be associated with.
bag-of-words countvectorizer logistic-regression multi-class-classification multiclass-logistic-regression natural-language-processing nlp one-vs-rest onevsrestclassifier stackoverflow-tags stemming text-mining tf-idf tfidf-vectorizer word-cloud
Last synced: 06 Mar 2025
https://github.com/kelvinjuliusarmandoh/dog_vision
Transfer learning for predicting dog breed images classification
computer-vision deep-learning machine-learning multi-class-classification transfer-learning
Last synced: 20 Jan 2026
https://github.com/bibek36/signlanguage-detection-mnist-dataset
In this project, we tackled a multi-class classification problem where the goal was to correctly classify images of hands depicting the 26 letters of the English alphabet using a Convolutional Neural Network (CNN). The dataset used for this task is the Sign Language MNIST dataset, which consists of 28x28 grayscale images representing each letter.
cnn-classification jupyter-notebook keras-tensorflow matplotlib mnist-dataset multi-class-classification python sign-language-recognition
Last synced: 15 Oct 2025
https://github.com/evangelos-karavas/classification-of-spherical-friction-failures-with-application-of-machine-learning
Development of an automated detection system of its operational status engine by measuring the performance of the system using control signals fed into machine learning models
data-science machine-learning matlab morphological-analysis multi-class-classification signal-processing system-performance-evaluator
Last synced: 23 Mar 2025
https://github.com/timkong21/facebook-page-classifier
Apply Multi-class node classification algorithm to classify Facebook page content type
biased-random-walk gensim-word2vec graph machine-learning multi-class-classification networkx node2vec stellargraph tsne
Last synced: 19 Jul 2025