classification-model

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

Detect trend in time series, drawdown, drawdown within a constant look-back window , maximum drawdown, time underwater.

[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.

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.

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

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

Build personalized machine learning models for Tinder using Python