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classification-model x

68 search results found

Awesome Decision Tree Papers ⭐ 2,266

A collection of research papers on decision, classification and regression trees with implementations.

Classification_models ⭐ 706

Classification models trained on ImageNet. Keras.

Geotorchai ⭐ 428

GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale

Train and visualize Hierarchical Attention Networks

Dominance Analysis ⭐ 128

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Pytorch ⭐ 104

PyTorch tutorials A to Z

Pytorchdeeplearing ⭐ 98

Meidcal Image Segmentation Pytorch Version

Vovnet.pytorch ⭐ 76

A pytorch implementation of VoVNet

Tindetheus ⭐ 74

Build personalized machine learning models for Tinder using Python

Machineshop ⭐ 62

MachineShop: R package of models and tools for machine learning

Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷

Website sources for Applied Machine Learning for Tabular Data

Retinal_blindness_detection_pytorch ⭐ 42

Detecting Diabetic Retinopathy using Deep learning algorithm - Convolution neural network (Resnet-152) using PyTorch + GUI + SMS notification

[NeurIPS 2023] Sentry-Image: Detect Any AI-generated Images

Framework to evaluate Trajectory Classification Algorithms

Bert Classification Tf Serving ⭐ 33

Use BERT to train a classification model and deploy the model by tensorflow serving

Naivebayes ⭐ 33

High performance implementation of the Naive Bayes algorithm in R

A Hub for all your Machine Learning Projects ranging from Beginner to Intermediate level. Get started with your Open Source and Machine Learning Journey with this beginner-friendly repository.

Machinelearningseries ⭐ 28

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

Covid Ct Mask Net ⭐ 28

Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.

Multimodal Short Video Dataset And Baseline Classification Model ⭐ 26

500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型（TensorFlow2.0）。

Influential ⭐ 24

Identification and Classification of the Most Influential Nodes

Regular Expression Counts of Terms and Substrings

Caltech_birds ⭐ 23

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Btc_data ⭐ 23

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

Hyperbox Brain ⭐ 23

A scikit-learn compatible hyperbox-based machine learning library in Python

Seven Segment Ocr ⭐ 21

Computer vision project to automatically recognize digits characters in a seven-segments display

Gauss Naive Bayes ⭐ 19

Gauss Naive Bayes in Python From Scratch.

Tf 1d 2d Resnetv1 2 Seresnet Resnext Seresnext ⭐ 18

Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).

A Fast And Compact 3 D Cnn For Hsic ⭐ 18

The code is associated with the following paper "A Fast and Compact 3-D CNN for Hyperspectral Image Classification". IEEE Geoscience and Remote Sensing Letters

Deep Learning Workshop ⭐ 14

The repository contains python codes, which I have developed as the facilitator of the two consecutive Deep Learning Workshops (I and II) for the master's students of computer science, University of Windsor.

The biggest module developed with complete focus on Feature Selection (FS) using Meta-Heuristic Algorithm / Nature-inspired evolutionary / Swarm-based computing.

This is a custom library for data processing, visualization and machine learning tools.

Web app for identifying a firearm based on a picture

A tool to support using classification models in low-power and microcontroller-based embedded systems.

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

Titanic Survival In Depth Analysis ⭐ 12

Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit-learn Modelling Algorithms to predict their probability of Survival.

Ddos Deeplearning Approach ⭐ 12

DDoS Deep Learning Approach | DDoS的深度学习识别模型

Myers Briggs Personality Prediction ⭐ 11

NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/

Sdg Queries ⭐ 11

This repository contains machine readable (xml) search queries (crafted from a controlled vocabulary), for the Scopus publication database, to find domain specific research output that are related to the 17 Sustainable Development Goals (SDGs). We invite enyone to improve the SDG queries further in a co-creation process.

Architectural Style Recognition ⭐ 10

ArchitecturalStyle Recognition is a image classifier of 25 different architectural styles, using deep learning.

Forest Fire Prediction ⭐ 10

Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.

Forecasting Us Elections ⭐ 10

Extraction of tweets and Perform sentiment analysis on the presidential candidature of Donald Trump, Joe Biden and Kanye West in the upcoming elections in US in November, 2020.

Foundationalml ⭐ 9

Beginner's guide to Machine Learning. Notebooks, blogs, resources and tracks to help anyone get started.

Cross platform audio feature extraction and sound classification tool

Evolvedtransformer ⭐ 8

Contains pytorch implementation of Transformer and EvolvedTransformer architectures. WIP

Data_science_introduction_with_python ⭐ 8

En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.

Playground ⭐ 8

store my personal project

Heart Disease Classifier Web App ⭐ 8

Heart disease classifier web app

Bert Classifier ⭐ 7

A general text classifier based on BERT. Multi-process data processing, multi-gpu parallel training, rich monitoring indicators.

Predict Blog Author Features ⭐ 7

Predicts gender, age, label, and zodiac sign of the writer from the given text.

Craftml Rs ⭐ 7

A Rust🦀 implementation of CRAFTML, an Efficient Clustering-based Random Forest for Extreme Multi-label Learning

MESCnn: MESC classification by neural network

Morphoclass ⭐ 7

Neuronal morphology preparation and classification using Machine Learning.

Prediciting Hits On Spotify ⭐ 6

Predicting hit songs on Spotify by classifying 40,000 songs using Machine Learning

Signlanguagedetection ⭐ 6

Machine Learning Based Detection Of ASL(American Sign Language) Gestures

Python Influential ⭐ 6

Identification and Classification of the Most Influential Nodes

Deep Learning to Predict MLB Outcomes

Nayn.classifier ⭐ 6

News Classification in Turkish

FULL Implementation of RCNN from scratch

Darkneuron ⭐ 5

This Library will deal with the implementation of Automatic Deep Learning which can reduce the time and Complexity for non-technical users and Specialists in this field to train their own networks with significant accuracies and can perform Image Classification, Object Detection and hybridization of Models.

Analisis_sentimen_tokopedia ⭐ 5

Sentiment analysis of Tokopedia app users on Google PlayStore using the Support Vector Machine (SVM) method

Oregonfrogs ⭐ 5

Dataset containing radio frequencies, geo-locations, and habitat types for Oregon frogs

Project_floodlight ⭐ 5

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine le

Jsonstack Model ⭐ 5

Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow

Synthesis Paragraph Classifier ⭐ 5

Codes and models for "Semi-supervised machine-learning classification of materials synthesis procedures". (https://doi.org/10.1038/s41524-019-0204-1)

Us Supreme Court Prediction ⭐ 5

Predicting the ideological direction of Supreme Court decisions: ensemble vs. unified case-based model

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