1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
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Updated
Jun 9, 2024 - Python
1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
Deep learning project focused on dark matter searches
Federated digital pathology: classification of Acute Myeloid Leukemia (AML) cells with a CNN.
PowerPredict employs TensorFlow to implement a Long Short-Term Memory (LSTM) network for the purpose of generating Powerball and Megamillions lottery numbers.
Vision Based Document Layout Detection, Segmentation and context classification using MaskRCNN on Tensorflow-Keras, PyTorch & Detectron2.
Deep Learning models for GDP growth rate forecasting.
Image classification problem, with military equipment dataset. Solving with CNN.
A Neural Network that uses MNIST dataset of Handwritten Digits and classifies them accordingly.
A Data Science Competition of Stock Price Prediction with Deep Learning Algorithms
Leverage the power of Deep Learning to automatically detect, segment and classify surface defects 🤯🤯
Detection of pneumonia in X-Ray images of lungs using both classic ML and Deep Learning methods.
Forecast hourly interstate 94 traffic volume with different Deep Learning approaches
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