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

Train and visualize Hierarchical Attention Networks

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.

A pytorch implementation of VoVNet

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

Build personalized machine learning models for Tinder using Python

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

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

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

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.

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

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

Gauss Naive Bayes in Python From Scratch.