Popular GitHub Repositories for Rain

Image De-raining Using a Conditional Generative Adversarial Network

[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model

[ICCV'23] Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks

Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN). ECCV, 2022.

Code for You Only Cut Once: Boosting Data Augmentation with a Single Cut, ICML 2022.

This paper is accepted by ICCV 2021.

[TPAMI 2023] Code for inference of our TPAMI and ECCV papers on model-guided disentanglement for GANs.

A (WIP) TensorFlow reproduction of Fu, Huang, Ding, Liao, and Paisley's method for single-image rain removal (https://arxiv.org/abs/1609.02087)

Rain Voice Note (Speech To Text). CW Frame App. JavaScript.

Web app to Predict of US traffic accidents severity based on weather conditions like visibility, temperature and weather categories like rain, snow, foggy etc as well as based on US location and the day of the week.

A single image deraining training and testing code with detailed explanations.

Remove rain from the images.

Blox Fruits: Anti-Ban, Rain Fruits, Chest Farm

Demo of platformer AI

The repository for BKAI Hackathon 2024 - Traffic Vehicle Detection Track. The competition focuses solely on one task: detecting and classifying vehicle types from traffic cameras under normal or challenging conditions (nighttime, rain, glare, etc.).

This Agentis an automated workflow built with n8n that checks the weather forecast daily for your location and sends you an email reminder to carry an umbrella if rain is expected.

A smart, low-power irrigation system that predicts rain using a neural network and automates watering based on sensor data. Built with STM32, C, Python, TensorFlow Lite, Developed as an academic prototype for embedded AI and IoT applications.

Create a comprehensive full-stack project that utilizes Artificial Intelligence (AI) to predict rainfall and provides a user-friendly interface for users to interact with. The project aims to leverage machine learning algorithms and data visualization techniques to provide accurate rain predictions, helping individuals and organizations make inform