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

Classification models trained on ImageNet. Keras.

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.

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

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

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

Gauss Naive Bayes in Python From Scratch.

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

Find the samples, in the test data, on which your (generative) model makes mistakes.

Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker

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

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

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

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