There are 6 repositories under classification-model topic.
A collection of research papers on decision, classification and regression trees with implementations.
Classification models trained on ImageNet. Keras.
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Meidcal Image Segmentation Pytorch Version
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.
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)。
PyTorch tutorials A to Z
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.
ROS 2 packages for PyTorch and TensorRT for real-time classification and object detection on Jetson Platforms
[NeurIPS 2023] Sentry-Image: Detect Any AI-generated Images
Build personalized machine learning models for Tinder using Python
Computer vision project to automatically recognize digits characters in a seven-segments display
Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.
Detecting Diabetic Retinopathy using Deep learning algorithm - Convolution neural network (Resnet-152) using PyTorch + GUI + SMS notification
Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.
Use BERT to train a classification model and deploy the model by tensorflow serving
Gauss Naive Bayes in Python From Scratch.
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).
Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more
A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.
Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.
Quizz App Using Custom Diffusion Model to create deep fake of Satelite Earth image
Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
High performance implementation of the Naive Bayes algorithm in R
Heart disease classifier web app
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
A sample power system was modeled using MATLAB Simulink and all six types of faults were introduced into the transmission line of the power system. An ML classifier using 8 types model was implemented using sklearn and an appropriate model was selected as the end model for each problem.
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/
Segmentation and Classification models for COVID CT scans (COVID, pneumonia, normal) based on Mask R-CNN.
Identification and Classification of the Most Influential Nodes