This repository provides a neural network implementation for monocular depth estimation, predicting depth maps from single RGB images. It uses an encoder-decoder architecture with transfer learning, supporting both Keras/TensorFlow and experimental PyTorch backends. The models are pre-trained on standard computer vision benchmarks including KITTI and NYU Depth V2 datasets.