keras-tensoflow

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.

Deep Learning models for GDP growth rate forecasting.

Leverage the power of Deep Learning to automatically detect, segment and classify surface defects 🤯🤯

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 Neural Network that uses MNIST dataset of Handwritten Digits and classifies them accordingly.

Forecast hourly interstate 94 traffic volume with different Deep Learning approaches

Detection of pneumonia in X-Ray images of lungs using both classic ML and Deep Learning methods.

A Data Science Competition of Stock Price Prediction with Deep Learning Algorithms