Projects in Awesome Lists tagged with multiclass-classification
A curated list of projects in awesome lists tagged with multiclass-classification .
https://github.com/sepandhaghighi/pycm
Multi-class confusion matrix library in Python
accuracy ai artificial-intelligence classification confusion-matrix data data-analysis data-mining data-science deep-learning deeplearning evaluation machine-learning mathematics matrix ml multiclass-classification neural-network statistical-analysis statistics
Last synced: 13 May 2025
https://github.com/sb-ai-lab/lightautoml
Fast and customizable framework for automatic ML model creation (AutoML)
automated-machine-learning automatic-machine-learning automl automl-algorithms binary-classification data-science kaggle lama machine-learning multiclass-classification nlp python regression
Last synced: 14 May 2025
https://github.com/sb-ai-lab/LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
automated-machine-learning automatic-machine-learning automl automl-algorithms binary-classification data-science kaggle lama machine-learning multiclass-classification nlp python regression
Last synced: 08 May 2025
https://github.com/koba-jon/pytorch_cpp
Deep Learning sample programs using PyTorch in C++
anomaly-detection autoencoder convolutional-autoencoder cpp dagmm dcgan deep-learning dimensionality-reduction generative-modeling image-to-image-translation libtorch linux multiclass-classification object-detection pix2pix pytorch semantic-segmentation u-net vae yolo
Last synced: 22 Jan 2026
https://github.com/AdeelH/pytorch-multi-class-focal-loss
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
classification deep-learning imbalanced-classes implementation-of-research-paper loss-functions machine-learning multiclass-classification neural-network pytorch pytorch-implementation retinanet
Last synced: 08 May 2025
https://github.com/AdrianAntico/RemixAutoML
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
automated-machine-learning automl catboost classification gpu-acceleration h2o lightgbm multiclass-classification panel-data r regression supervised-learning timeseries unsupervised-learning xgboost
Last synced: 14 Mar 2025
https://github.com/AdrianAntico/AutoQuant
R package for automation of machine learning, forecasting, model evaluation, and model interpretation
automated-machine-learning automl catboost classification gpu-acceleration h2o lightgbm multiclass-classification panel-data r regression supervised-learning timeseries unsupervised-learning xgboost
Last synced: 26 Apr 2025
https://github.com/adeelh/pytorch-multi-class-focal-loss
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
classification deep-learning imbalanced-classes implementation-of-research-paper loss-functions machine-learning multiclass-classification neural-network pytorch pytorch-implementation retinanet
Last synced: 10 Apr 2025
https://github.com/ShawnyXiao/2017-CCF-BDCI-AIJudge
2017-CCF-BDCI-让AI当法官(初赛):7th/415 (Top 1.68%)
2017 bdci ccf data-mining multiclass-classification nlp
Last synced: 30 Mar 2025
https://github.com/vijayg15/keras-multiclass-image-classification
Multiclass image classification using Convolutional Neural Network
computer-vision convolutional-neural-network data-augmentation deep-learning keras multiclass-classification multiclass-image-classification neural-networks resnet resnet101 resnet152 resnet50 tensorflow transfer-learning vgg16-model vgg19 vggnet weather weather-classification
Last synced: 08 May 2025
https://github.com/muhammedbuyukkinaci/tensorflow-multiclass-image-classification-using-cnn-s
Balanced Multiclass Image Classification with TensorFlow on Python.
gpu gpu-options image-classification image-processing image-recognition low-level low-level-programming multiclass-classification multiclass-image-classification python tensorflow tensorflow-api tensorflow-experiments tensorflow-gpu tensorflow-models tensorflow-tutorials
Last synced: 02 May 2025
https://github.com/kanchitank/text-emotion-analysis
Automate detection of different emotions from paragraphs and predict overall emotion.
deep-learning deep-neural-networks emotion-analysis emotion-detection emotion-recognition keras machine-learning multiclass-classification nlp sentiment-analysis text-emotion-detection
Last synced: 07 May 2025
https://github.com/srimannarayanabaratam/land_cover_classification_unet
This repository contains code for implementing multi class semantic segmentation (specifically applied to satellite image classification) with PyTorch implementation of UNet.
deepglobe-dataset multiclass-classification pytorch semantic-segmentation unet
Last synced: 05 May 2025
https://github.com/GINK03/alt-i2v
alternative illustration2vec implitation of sigmoids of fully connected layer
deep-learning keras multiclass-classification otaku vectorization
Last synced: 20 Nov 2025
https://github.com/todd-cook/ml-you-can-use
Practical ML and NLP with examples.
bert binary-classification classics computer-vision convolutional-neural-networks deep-learning document-deduplication embeddings frequency-distribution keras labeling-data latin ml multiclass-classification nlp object-detection probablistic-language tensorflow text-classification wikipedia-corpus
Last synced: 23 Apr 2025
https://github.com/muhammedbuyukkinaci/object-classification-and-localization-with-tensorflow
This repository is containing an object classification & localization project for SINGLE object.
alexnet alexnet-localization classification cnn cnn-tensorflow convolutional-neural-networks image-augmentation image-classification-localization image-localization localization multiclass-classification neural-networks object-detection object-localization ready-to-run ready-to-use single-image-localization tensorflow tensorflow-gpu tensorflow-image-localization
Last synced: 05 May 2025
https://github.com/yeaseen/ml_pattern
: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.
adaboost-learning als-algorithm artificial-neural-networks basic-learning binary-perceptron decision-tree-classifier multiclass-classification multiclass-kersel numpy perceptron-learning-algorithm pocket python recommendation-algorithm reward-and-punishment scikit-learn scratch template-matching
Last synced: 07 May 2025
https://github.com/gjjvdburg/gensvm
A Generalized Multiclass Support Vector Machine available in Python, R, and C
c classification machine-learning multiclass-classification support-vector-machines
Last synced: 04 Oct 2025
https://github.com/networks-learning/improve-expert-predictions-conformal-prediction
Code for "Improving Expert Predictions with Conformal Prediction" , ICML 2023
classification-algorithm conformal-prediction human-ai-teaming machine-learning multiclass-classification
Last synced: 12 Oct 2025
https://github.com/jespb/python-m3gp
An easy-to-use scikit-learn inspired implementation of the Multidimensional Multiclass Genetic Programming with Multidimensional Populations (M3GP) algorithm
binary-classification classification clustering evolutionary-algorithm evolutionary-algorithms evolutionary-computation genetic-programming machine-learning multiclass-classification
Last synced: 28 Aug 2025
https://github.com/ykbintang/groco_corn-plant-disease-detection-system
Capstone Project SIB Dicoding Batch 3 2022. Flask x Replit Website with Machine Learning Features (Multiclass Classification & CNN)
convolutional-neural-networks deep-learning flask machine-learning multiclass-classification python replit
Last synced: 06 Apr 2025
https://github.com/michelml/ml-cellsignal
CellSignal (rxrx.ai) - NEURIPS 2019 COMPETITION
cell-biology cell-images-modeling cnn deep-learning kaggle kaggle-competition multiclass-classification neurips-2019 python3
Last synced: 20 Aug 2025
https://github.com/aaaastark/intrusion-detection-system
Attack Detection, Parameter Optimization and Performance Analysis in Enterprise Networks (ML Networks) for Intrusion Detection System IDS.
attack-detection binary-classification brute-force catboost cicids2017 cse-cic-ids-2018 ddos-attacks dos-attack intrusion-detection-system lgbm machine-learning multiclass-classification python research-project thesis-project web-attacks
Last synced: 16 Mar 2026
https://github.com/gjjvdburg/rgensvm
R package for the GenSVM classifier
classification machine-learning machine-learning-algorithms multiclass-classification r support-vector-machine
Last synced: 10 Apr 2025
https://github.com/vidhi1290/multi-class-text-classification-using-bert-model
Predict consumer financial product categories using BERT, based on over two million customer complaints. This project involves data processing, model building with pre-trained BERT, and making predictions on new text data.
bert bert-fine-tuning bert-model multiclass-classification nlp pandas python sklearn text-classificaiton-with-bert text-classification torch tqdm transformers
Last synced: 10 Apr 2025
https://github.com/bl0nder/pomegranet
A deep learning model trained to peform multi-class classification to differentiate between several types of fruits as well as between raw and ripe fruits of the same species.
deep-learning ensemble-learning multiclass-classification neural-networks
Last synced: 02 Sep 2025
https://github.com/david-cortes/multinomial_probit
(R, Python) Multinomial Probit Regression (MNP) for multi-class classification
multiclass-classification multinomial-probit
Last synced: 22 Apr 2025
https://github.com/sjdonado/multiclass-classifiers
K-means(L2), Softmax linear classifier and 2-layers neuronal network(ReLU) - custom dataset
machine-learning multiclass-classification
Last synced: 09 Apr 2025
https://github.com/arasgungore/multiclass-classification-using-ensemble-learning
Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.
bayessearchcv categorical-cross-entropy convolutional-neural-network convolutional-neural-networks decision-trees deep-learning deep-neural-networks ensemble-classifier ensemble-deep-learning ensemble-learning ensemble-machine-learning ensemble-model financial-machine-learning jupyter-notebook kfold-cross-validation lightgbm machine-learning machine-learning-algorithms manifold-learning multiclass-classification
Last synced: 05 Oct 2025
https://github.com/rauhul/cs446
Machine Learning UIUC SP 2018
expectation-maximization gaussian-mixture-models generative-adversarial-network k-means linear-regression logistic-regression multiclass-classification neural-network q-learning svm variational-autoencoder
Last synced: 09 Feb 2026
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/gjjvdburg/pygensvm
Python package for the GenSVM classifier
machine-learning machine-learning-algorithms multiclass-classification multiclass-support-vector-machine multiclass-svm nonlinear-support-vector-machine nonlinear-svm python scikit-learn scikitlearn-machine-learning svm svm-classifier
Last synced: 15 Jul 2025
https://github.com/mukhopadhyay/youtube-thumbnail-dataset
Most versatile dataset of YouTube thumbnails.
datascience dataset deep-learning image image-classification kaggle multiclass-classification youtube
Last synced: 21 Mar 2025
https://github.com/thieu1995/mealpy-classification
Hyper-parameter tuning of classification model with Mealpy
classification-model cnn-classification genetic-algorithm hyper-parameter-tuning mealpy meta-heuristic-algorithms mlp multiclass-classification particle-swarm-optimization svm
Last synced: 04 Jul 2025
https://github.com/manohara-ai/wanna_be_akinator
Implementation of Decision Trees with Random Forests to guess user's pokemon
akinator-clone decision-trees machine-learning multiclass-classification random-forest
Last synced: 06 May 2025
https://github.com/koldim2001/emotion_classifier
Проведение бинарной и многоклассовой классификаций эмоций людей на фотографиях
binary-classification classic-machine-learning discriminant-analysis emotion-recognition face-detection gabor-feature-extraction lda multiclass-classification pca
Last synced: 14 May 2026
https://github.com/muhammedbuyukkinaci/my-jupyter-files
This repository is containing my Jupyter files.
binary-classification binary-image-classification dcgan dcgan-tensorflow deep-learning ipython-notebook jupyter-notebook multiclass-classification multiclass-image-classification neural-style-transfer neural-style-transfer-tensorflow tensorflow tensorflow-text-generator text-generation
Last synced: 26 Mar 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/nikhil25803/foodvision
FoodVision is a Python project focused on multiclass image classification, employing Convolutional Neural Networks (CNN).
cnn deeplearning keras multiclass-classification python python3 tensorflow tkinter
Last synced: 09 May 2026
https://github.com/msikorski93/sentiment-analysis-on-amazon-reviews
A basic NLP project on musical instruments reviews on Amazon.
amazon-reviews huggingface-transformers multiclass-classification nlp-machine-learning nltk roberta-model scikit-learn sentiment-analysis sgd-classifier vader-sentiment-analyzer
Last synced: 13 Feb 2026
https://github.com/amirreza81/applied-data-science-course
Comprehensive notes, practical exercises, and problem-solving solutions from the Applied Data Science course, covering data preprocessing, machine learning algorithms, statistical analysis, data visualization, and real-world applications.
accuracy-measure boosting classification data-cleaning data-preprocessing data-science data-visualisation deep-learning dimensionality-reduction eda feature-engineering image-classification imbalanced-data kaggle-dataset machine-learning multiclass-classification pandas regression scikit-learn stroke-prediction
Last synced: 22 Mar 2025
https://github.com/networks-learning/counterfactual-prediction-sets
Code for "Designing Decision Support Systems Using Counterfactual Prediction Sets". ICML 2024.
classification-algorithm conformal-prediction human-ai-teaming machine-learning multiclass-classification prediction-sets
Last synced: 11 May 2025
https://github.com/joyceannie/tomatoleafdiseaseprediction
The objective of the project is to classify the images of tomato plant leaves to identify whether the plant is healthy or not. A classification model is trained using Tensorflow and Keras. The application runs locally on Flask server.
classification-algorithm flask-application keras machine-learning multiclass-classification python tensorflow2
Last synced: 09 May 2026
https://github.com/sayamalt/stellar-classification---sloan-digital-sky-survey-17
Successfully established a machine learning model which can predict an appropriate stellar class, on the basis of a distinct set of spectral characteristics, to a substantially high level of accuracy.
cross-validation data-preprocessing data-visualization exploratory-data-analysis feature-engineering feature-scaling imbalanced-learning model-deployment model-evaluation model-training multiclass-classification supervised-machine-learning
Last synced: 11 Jan 2026
https://github.com/apurva-modi/flower-classification
In this competition, we’re challenged to build a machine learning model that identifies the type of flowers in a dataset of images (for simplicity, we’re sticking to just over 100 types).
efficientnet-keras ensemble-model flower-classification kaggle-competition machine-learning multiclass-classification tensorflow tpu transfer-learning
Last synced: 15 May 2026
https://github.com/sayamalt/liver-cirrhosis-stage-prediction
Successfully established a machine learning model which can determine whether an individual is vulnerable to the Cirrhosis disease or not by predicting its corresponding stage based on a unique set of medical features such as Cholesterol, Prothrombin, etc. pertaining to that person.
exploratory-data-analysis feature-engineering hyperparameter-tuning model-deployment model-evaluation-metrics model-training multiclass-classification supervised-machine-learning
Last synced: 09 Nov 2025
https://github.com/florianwoelki/neural-network-weed-detection
This repository contains a custom made neural network which will classify weed.
classification images multiclass-classification multiclass-neural-network neural-network numpy python3
Last synced: 12 Apr 2026
https://github.com/kingabzpro/malawi-news-classification
Using text classifier to predict various categories in Malawi News articles using SMOTE and SGDClassifier.
africa multiclass-classification nlp-machine-learning oversampling
Last synced: 19 Apr 2026
https://github.com/ehtisham-sadiq/cirrhosis-patient-outcome-prediction
Multi-class classification model to predict outcomes of cirrhosis patients using machine learning
classification competition data-preprocessing encoding-algorithms exploratory-data-analysis feature-engineering machine-learning machine-learning-algorithms missing-data-imputation model-training-and-evaluation multiclass-classification
Last synced: 12 Apr 2026
https://github.com/vigneshss-07/complete-atoz-mlprojects
This Repo Contains Machine Learning Projects covering Supervised and Unsupervised ML algorithms. Contains solutions of various hackathon solutions (kaggle, AV , ineuron)
categorical-variables multiclass-classification retail supervised-learning
Last synced: 27 Jul 2025
https://github.com/machinelearningprodigy/liver-disease-detect
A simple Liver Disease Prediction App built using Streamlit and Machine Learning. This app predicts the presence of liver disease based on health parameters. 🏥🩺
algorithms multiclass-classification pandas pickle python3 streamlit xgboost
Last synced: 09 May 2026
https://github.com/jibbs1703/Classic-ML-Models
This repository contains models that predict the obesity level of patients based on their eating/lifestyle habits and physical condition.
data-preprocessing data-science decision-tree-classifier deep-learning feature-engineering machine-learning multiclass-classification obesity-prediction predictive-modeling pytorch xgboost-classifier
Last synced: 07 Oct 2025
https://github.com/emcl-research-itseclab/ssci23-xai-network-traffic
SSCI23 Explainable AI in Network Traffic Classification
classification explainable-ai explainable-artificial-intelligence multiclass-classification multiclass-image-classification network ssci xai
Last synced: 29 Oct 2025
https://github.com/iamuv2000/stackoverflow-tag-prediction
Stackoverflow tag predictor is an application that can help you generate appropriate tags using a multiclass label classifier.
flask-application hacktoberfest machine-learning multiclass-classification python react stackoverflow stackoverflow-tags
Last synced: 01 May 2026
https://github.com/bipinoli/svm-from-scratch
Support Vector Machine (SVM) a machine learning algorithm implemented from scratch.
convex-optimization from-scratch kernel-functions multiclass-classification sequential-minimal-optimization support-vector-machine svm
Last synced: 25 Oct 2025
https://github.com/wodenwang820118/music_genre_multiclass_classification
The multiclass classification sometimes gets poor results. The repository attempts to use comet_ml to grid search and find the best hyperparameters and concatenate different models for training a better model. The goal is to classify the music genres.
deep-learning deep-neural-networks machine-learning multiclass-classification music-genre-classification
Last synced: 15 May 2026
https://github.com/matteocalvanico/multiclass-classification
Net and config file to create a ML model for classifying
machine-learning multiclass-classification pytorch
Last synced: 16 Feb 2026
https://github.com/jibbs1703/classic-ml-models
This repository contains scripts for developing, training and evaluating machine learning models using several python frameworks.
aws data-preprocessing data-science deep-learning feature-engineering machine-learning multiclass-classification neural-networks predictive-modeling pyspark-mllib pytest scikit-learn xgboost-classifier
Last synced: 10 Apr 2026
https://github.com/audrbar/ml-multiclass
Multiclass vs Multi-label Classification
mashine-learning multiclass-classification python
Last synced: 25 May 2026
https://github.com/kayoyin/water-pumps
CSE204 Machine Learning: multi-class prediction of operating condition of Tanzanian waterpoints
classification ensemble-learning machine-learning multiclass-classification random-forest xgboost
Last synced: 22 Dec 2025
https://github.com/aliy98/navigation-sensor-data-classification
Classification of a Navigation Robot Sensor Dataset Using SVM, Random Forest and Neural Network
artificial-neural-networks keras multiclass-classification random-forest scikit-learn scitos-g5 support-vector-machines
Last synced: 13 May 2026
https://github.com/afuntw/beetle-classification
Keras Transfer Learning with my own workflow
keras-tensorflow multiclass-classification transfer-learning
Last synced: 11 Aug 2025
https://github.com/kaustubholpadkar/multiclass-classification-neural-network-visualization
Simulation of Multi-Class Classifier with Neural Networks using P5.JS and Synaptic.js
artificial-intelligence artificial-neural-networks deep-learning interactive-visualizations javascript machine-learning multiclass-classification neural-networks p5js simulation synapticjs visualization
Last synced: 04 Apr 2025
https://github.com/aryansharma5/newzee
containerized flask web application
docker flask flask-application gunicorn heroku machine-learning multiclass-classification webscraping
Last synced: 07 May 2026
https://github.com/nelson-gon/cellseg
cellseg: Multiclass Cell Segmentation
biology deep-learning image-classification image-processing image-segmentation multiclass-classification neural-networks torch
Last synced: 07 Oct 2025
https://github.com/sayamalt/luxury-apparel-product-category-classification-using-fine-tuned-distilbert
Successfully developed a multiclass text classification model by fine-tuning pretrained DistilBERT transformer model to classify various distinct types of luxury apparels into their respective categories i.e. pants, accessories, underwear, shoes, etc.
deep-learning distilbert-fine-tuning distilbert-model exploratory-data-analysis fine-tuning-bert model-inference model-training-and-evaluation multiclass-classification natural-language-processing text-classification text-preprocessing text-tokenization
Last synced: 08 Oct 2025
https://github.com/khushirajurkar/exoplanet-habitability-prediction-model
Predicts whether an exoplanet is habitable using ML. Handles class imbalance with ADASYN, tests multiple models, and saves the best one. Includes confusion matrices, ROC curves, and a clean Jupyter notebook
adasyn astroinformatics confusion-matrix exoplanets logistic-regression machine-learning multiclass-classification python roc-curve scikit-learn smote
Last synced: 06 May 2026
https://github.com/komangandika/textmining_finalexam
This is my Text Mining final exam, which include multicalss text classification using BERT, text clustering with KMeans and LDA, and also Text summarization using ranking system
bert deep-learning multiclass-classification summarization text-mining
Last synced: 16 Oct 2025
https://github.com/sayamalt/financial-news-sentiment-analysis
Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.
data-exploration-and-preprocessing distilbert-model fine-tune-bert-tensorflow hugging-face-transformers model-architecture-and-implementation model-inference model-training-and-evaluation multiclass-classification natural-language-processing sentiment-analysis text-preprocessing text-tokenization
Last synced: 17 Oct 2025
https://github.com/santiagoenriquega/drought_prediction_pytorch
Neural network model for multiclass classification to predict drought levels using meteorological data.
multiclass-classification neural-network python pytorch
Last synced: 14 Apr 2026
https://github.com/vinukavinnath/ipcv
A collection of image processing and computer vision tutorials covering topics from shape detection to deep learning-based image classification. Created under the supervision of Dr. Kaneeka Vidanage.
computer-vision deep-learning image-processing multiclass-classification neural-network opencv tensorflow vgg16
Last synced: 15 Apr 2026
https://github.com/ayulockin/humain_faceless
Detect faces in an image and give prediction about the age, ethnicity and emotion of that face.
deeplearning face-detection image-processing keras mtcnn-face-detection multiclass-classification multilabel-classification opencv tensorflow
Last synced: 16 Apr 2026
https://github.com/magnus0969/multi-class-classification
This repository contains a comprehensive implementation of a multi-class classification model, leveraging various machine learning algorithms to classify data into multiple categories. The project includes data preprocessing, model training, evaluation, and performance metrics to assess the effectiveness of different classification techniques.
classification cnn-classification keras-classification-models multiclass-classification python
Last synced: 12 Jun 2026
https://github.com/grantgasser/task3
Multiclass Classification
keras multiclass-classification numpy pandas tensorflow
Last synced: 05 Apr 2026
https://github.com/mihaibudurean/neuralnetworkscomparativeanalysis
Comparative study of Network-in-Network (NiN) and GoogLeNet-style multi-branch networks on Sign-MNIST and MNIST transfer learning.
cnn deep-learning keras multiclass-classification tensorflow
Last synced: 18 Apr 2026
https://github.com/hinzy97/animal-shelter-outcome-prediction-ensemble-ml
Predicting Animal Shelter Outcomes Using Ensemble Learning
animal-welfare classification data-science ensemble-learning feature-engineering gradient-boosting log-loss machine-learning multiclass-classification predictive-modeling r-language random-forest
Last synced: 04 Jun 2026
https://github.com/nilu0309/tad-archives-classifier
TaD Archives Classifier is a Natural Language Processing (NLP) project developed for the Text-as-Data coursework. The goal is to automatically classify short museum record descriptions into one of five UK heritage institutions (e.g., National Maritime Museum, Royal Botanic Gardens, Kew, etc.).
bert data-cleaning data-science distilbert fine-tuning huggingface llm multiclass-classification nlp prompt-engineering pytorch roberta spacy text-classification transformers
Last synced: 20 Apr 2026
https://github.com/jyotsnayall/sign-language-detection
Convolutional Neural Network(CNN) using Python and Keras to classify American Sign Language (ASL) alphabet hand signs.
deep-learning image-classification multiclass-classification multiclass-image-classification neural-networks
Last synced: 20 Apr 2026
https://github.com/parag000/predictive-machine-maintenance
This project performs multiclass classification to identify machine failure types using a synthetic dataset with features like temperature, torque, and tool wear. It includes data analysis, feature engineering, and model training to optimize maintenance strategies and reduce downtime through predictive insights.
machine-maintenance multiclass-classification python
Last synced: 20 Apr 2026
https://github.com/mohammed-majid/image-classification-nn
Image classification using custom Neural Network (No ML packages)
custom multiclass-classification neural-network numpy
Last synced: 22 Apr 2026
https://github.com/victoorv/mask_detection
Détection de port du masque à l'aide de deux algorithmes de détection d'objets.
classification cnn faster-rcnn gpu-programming mask mask-detection mask-rcnn multiclass-classification pytorch transfer-learning yolo yolov8
Last synced: 26 Apr 2026
https://github.com/nancyhamdan/demil-degree-prediction
Predicting the Demilitarization Degree Required for Military Items
deep-learning exploratory-data-analysis keras multiclass-classification
Last synced: 16 May 2026
https://github.com/grantgasser/task2
Multiclass classification
keras multiclass-classification neural-network
Last synced: 27 Apr 2026
https://github.com/sathviknayak123/detection_of_dga_botnets
App to Detect of DGA-based botnets using Machine Learning and Deep Learning (CNN+Attention)
binary-classification cnn-att-models deep-learning fastapi feature-engineering machine-learning multiclass-classification
Last synced: 28 Apr 2026
https://github.com/cyprianfusi/multi-class-classification-on-stack-overflow-questions
A naive approach to multiclass text classifier on stack overflow questions with almost 80% accuracy!
keras-tensorflow multiclass-classification nlp-machine-learning pandas-dataframe python3 tensorflow2 wrangling
Last synced: 30 Apr 2026
https://github.com/pejpero/multi-class_classifier
This project demonstrates multiclass classification using Perceptron and Logistic Regression, implemented from scratch without using built-in libraries. It includes techniques like One-Versus-The-Rest and One-Versus-One for Perceptron, and Softmax for Logistic Regression, with a focus on understanding core ML concepts.
data-visualization logistic-regression machine-learning multiclass-classification one-vs-one one-vs-rest perceptron python scratch-implementation softmax
Last synced: 09 Jun 2026
https://github.com/gbourniq/cnn-multiclass-classification-gear
Using Machine Learning and Deep Learning to predict the category of outdoor equipment
image-classification keras-tensorflow multiclass-classification python scikit-learn tensorboard-visualizations
Last synced: 05 May 2026
https://github.com/egorumaev/2023-ods-turnstiles
Идентификация посетителя в зависимости от характерного времени его прохода на территорию организации
catboost featureengineering imblearn multiclass-classification pandas pipeline python3 sklearn
Last synced: 06 May 2026
https://github.com/farnazmnz/multi-class-weather
Computer vision project
cnn computer-vision deep-learning keras multiclass-classification
Last synced: 27 Apr 2026
https://github.com/gergokerenyi02/python
Projects - "Training a MLP Neural network in Python (Numpy, PyTorch)" / ...
iot linear-regression multiclass-classification multilayer-perceptron-network neural-networks
Last synced: 12 May 2025
https://github.com/grascya/forest-health-and-prediction
In-depth analysis of forest health and prediction model for different tree health categories.
machine-learning-algorithms multiclass-classification python
Last synced: 18 May 2026
https://github.com/krishnagajjar13/ann-vs-cnn-image-classification
A comparison between ANN, custom CNN, CNN + Resnet also include little insight on Hyperprarameter Tuning
ann artificial-neural-networks classification cnn-classification multiclass-classification python3 pytorch
Last synced: 21 Mar 2025
https://github.com/televisionninja/basic-multiclass-classification-convolutional-neural-network
A basic multiclass classification convolutional neural network using PyTorch
ai convolutional-neural-networks machine-learning multiclass-classification pytorch
Last synced: 19 May 2026
https://github.com/juzershakir/logistic_regression
A Mathematical Intuition behind Logistic Regression Algorithm
algorithm bias-variance cost-function gradient-descent hypothesis logarithmic-regression logarithms logistic-function logistic-regression machine-learning multiclass-classification overfitting probability regularized-logistic-regression sigmoid-function
Last synced: 02 Jan 2026
https://github.com/najdbinrabah/deep-learning-with-tensorflow-and-keras
This project explores emotion recognition in audio data, focusing on feature extraction techniques while also comparing the performance of LSTM and 1D CNN models.
1d-convolutional-neural-network audio-analysis chroma-features convolutional-neural-networks data-science deep-learning deep-neural-networks emotion-detection feature-extraction keras librosa long-short-term-memory-network machine-learning mel-frequency-cepstral-coefficients mel-spectrogram multiclass-classification python recurrent-neural-networks tensorflow
Last synced: 07 May 2026
https://github.com/sayande01/iris_eda_classification
This project applies a Random Forest classifier to the Iris dataset to predict flower species based on four features: Sepal Length, Sepal Width, Petal Length, and Petal Width. It includes data exploration, visualization, model building, evaluation, and hyperparameter tuning for optimal performance.
exploratory-data-analysis multiclass-classification random-forest
Last synced: 06 Apr 2025