Popular GitHub Repositories for Adverse Weather

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

a Python toolkit for fine-tuning Geospatial Foundation Models (GFMs). https://ibm.github.io/terratorch/

Predict the Power Production of a solar panel farm from Weather Measurements using Machine Learning

? A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

A comprehesive survey about foundation models for weather and cliamte data understanding.

M.I.L.E.S, a GPT-4-Turbo voice assistant, self-adapts its prompts and AI model, can play any Spotify song, adjusts system and Spotify volume, performs calculations, browses the web and internet, searches global weather, delivers date and time, autonomously chooses and retains long-term memories. Available for macOS and Windows.

Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch

a Python toolbox loads 172 public time series datasets for machine/deep learning with a single line of code. Datasets from multiple domains including healthcare, financial, power, traffic, weather, and etc.

This repository containts materials for End-to-End AI for Science

[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

Chargym simulates the operation of an electric vehicle charging station (EVCS) considering random EV arrivals and departures within a day. This is a generalised environment for charging/discharging EVs under various disturbances (weather conditions, pricing models, stochastic arrival-departure EV times and stochastic Battery State of Charge (BOC) at arrival). This is an open source OpenAI Gym environment for the implementation of Reinforcement Learning (RL), Rule-based approaches (RB) and Intelligent Control (IC).

Python Voice Assistant project can: recognize and synthesize speech without Internet access; report the weather forecast anywhere in the world; make a search in the Google; make a video search in the YouTube; make a search for a definition in Wikipedia and read it; translate from the target language to the user's native language, and much more

4D Radar Object Detection Dataset and Benchmark for Autonomous Driving in Various Weather Conditions

NER and Relation Extraction from Electronic Health Records (EHR).

A deep generative model to predict aircraft actual trajectories using high dimensional weather data

Fog Simulation using Generative Adversarial Networks (GAN). This code is the implementation of the master thesis Simulating Weather Conditions on Digital Images. It uses a modified CycleGAN model to synthesize fog on clear images.

Exploring the potential of fine-tuning Large Language Models (LLMs) like Llama2 and StableLM for medical entity extraction. This project focuses on adapting these models using PEFT, Adapter V2, and LoRA techniques to efficiently and accurately extract drug names and adverse side-effects from pharmaceutical texts