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

Train and visualize Hierarchical Attention Networks

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.

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

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

A pytorch implementation of VoVNet

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

Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.

ROS 2 packages for PyTorch and TensorRT for real-time classification and object detection on Jetson Platforms

✅ CODAR is a framework built using PyTorch to analyze post (Text+Media) and predict cyber bullying and offensive content.

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.

AI-driven initiative to assist hospitals and rural clinics in early detection of Diabetic Retinopathy, supporting accessible eye care for all through open healthcare innovation.

Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more

Build personalized machine learning models for Tinder using Python

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

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

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.

Projeto de ensino para o curso Ciência de Dados ministrado por mim na Hashtag

Quizz App Using Custom Diffusion Model to create deep fake of Satelite Earth image

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

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

Gauss Naive Bayes in Python From Scratch.

FULL Implementation of RCNN from scratch

Projects of Business Analyst Nanodegree Program

Heart disease classifier web app

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).