A collection of research papers on decision, classification and regression trees with implementations.
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Updated
Mar 16, 2024 - Python
A collection of research papers on decision, classification and regression trees with implementations.
Classification models trained on ImageNet. Keras.
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.
PyTorch tutorials A to Z
Heart disease classifier web app
Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
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)。
Train and visualize Hierarchical Attention Networks
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
store my personal project
Meidcal Image Segmentation Pytorch Version
Detecting Diabetic Retinopathy using Deep learning algorithm - Convolution neural network (Resnet-152) using PyTorch + GUI + SMS notification
Computer vision project to automatically recognize digits characters in a seven-segments display
Use BERT to train a classification model and deploy the model by tensorflow serving
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.
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
The repository contains python codes, which I have developed as the facilitator of the two consecutive Deep Learning Workshops (I and II) for the master's students of computer science, University of Windsor.
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/
Gauss Naive Bayes in Python From Scratch.
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