A Data Science Competition of Stock Price Prediction with Deep Learning Algorithms
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Updated
Apr 26, 2021 - Jupyter Notebook
A Data Science Competition of Stock Price Prediction with Deep Learning Algorithms
Vision Based Document Layout Detection, Segmentation and context classification using MaskRCNN on Tensorflow-Keras, PyTorch & Detectron2.
A Neural Network that uses MNIST dataset of Handwritten Digits and classifies them accordingly.
Deep learning project focused on dark matter searches
Forecast hourly interstate 94 traffic volume with different Deep Learning approaches
Image classification problem, with military equipment dataset. Solving with CNN.
Deep Learning models for GDP growth rate forecasting.
Leverage the power of Deep Learning to automatically detect, segment and classify surface defects 🤯🤯
Federated digital pathology: classification of Acute Myeloid Leukemia (AML) cells with a CNN.
Detection of pneumonia in X-Ray images of lungs using both classic ML and Deep Learning methods.
PowerPredict employs TensorFlow to implement a Long Short-Term Memory (LSTM) network for the purpose of generating Powerball and Megamillions lottery numbers.
1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
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