Lighting-the-Darkness-in-the-Deep-Learning-Era-Open This repository provides a unified online platform, LoLi-Platform http://mc.nankai.edu.cn/ll/, that covers many popular deep learning-based LLIE methods, of which the results can be produced through a user-friendly web interface, contains a low-light image and video dataset, LoLi-Phone https://drive.google.com/file/d/1QS4FgT5aTQNYy-eHZ_A89rLoZgx_iysR/view?usp=sharing, in which the images and videos are taken by various phones’ cameras under diverse illumination conditions and scenes, and collects deep learning-based low-light image and video enhancement methods, datasets, and evaluation metrics. More content and details can be found in our […]

Here is deepparse. Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning. Use deepparse to Use the pre-trained models to parse multinational addresses, retrain our pre-trained models on new data to parse multinational addresses, retrain our pre-trained models with your own prediction tags easily. Read the documentation at deepparse.org. Deepparse is compatible with the latest version of PyTorch and Python >= 3.7. Countries and Results We evaluate our models on two forms of address data clean […]