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.
Deep Learning models for GDP growth rate forecasting.
Vision Based Document Layout Detection, Segmentation and context classification using MaskRCNN on Tensorflow-Keras, PyTorch & Detectron2.
Image classification problem, with military equipment dataset. Solving with CNN.
A Data Science Competition of Stock Price Prediction with Deep Learning Algorithms
A Neural Network that uses MNIST dataset of Handwritten Digits and classifies them accordingly.
Forecast hourly interstate 94 traffic volume with different Deep Learning approaches
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.
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