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
Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
Heart disease classifier web app
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
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
store my personal project
A Hub for all your Machine Learning Projects ranging from Beginner to Intermediate level. Get started with your Open Source and Machine Learning Journey with this beginner-friendly repository.
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
Build personalized machine learning models for Tinder using Python
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.
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