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.
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
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.
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
[NeurIPS 2023] Sentry-Image: Detect Any AI-generated Images
Build personalized machine learning models for Tinder using Python
Computer vision project to automatically recognize digits characters in a seven-segments display
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.
Detecting Diabetic Retinopathy using Deep learning algorithm - Convolution neural network (Resnet-152) using PyTorch + GUI + SMS notification
Developing a virtual personal fitness tracker and exercise activity recognition A.I. using computer vision and deep learning.
Use BERT to train a classification model and deploy the model by tensorflow serving
Deep learning based algorithm which is capable of detecting violence in indoor or outdoor environments: fight, fire or car crash and even more
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