neural-lam
weather predictor
A software framework for training and evaluating neural networks for weather prediction in specific geographic areas.
Research Software for Neural Weather Prediction for Limited Area Modeling
126 stars
6 watching
50 forks
Language: Python
last commit: about 2 months ago
Linked from 1 awesome list
protontypes/open-sustainable-technologyRelated projects:
| Repository | Description | Stars |
|---|---|---|
 colasgael/machine-learning-for-solar-energy-prediction | Develops a predictive model to forecast the power production of solar panels based on weather data | 240 |
 nixtla/mlforecast | A framework to perform time series forecasting using machine learning models on large datasets. | 924 |
 junyangwang0410/amber | An LLM-free benchmark suite for evaluating MLLMs' hallucination capabilities in various tasks and dimensions | 98 |
 wizaron/deep-forecast-pytorch | A deep learning-based framework for predicting wind speeds using LSTM networks in PyTorch. | 180 |
 openclimatefix/graph_weather | An implementation of a forecasting model using graph neural networks to predict global weather patterns. | 209 |
 molcik/python-neuron | A Python library for implementing and training various neural network architectures | 40 |
 lightning-universe/lightning-bolts | Provides a toolbox of components to extend PyTorch Lightning for deep learning research and production | 1,700 |
 damitkwr/esrnn-gpu | A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs. | 319 |
 aalto-quml/climode | A framework for training and evaluating physics-informed neural ODEs for climate and weather forecasting | 75 |
 mrgemy95/visual-interaction-networks-pytorch | An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes. | 166 |
 tristandeleu/pytorch-maml-rl | Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks | 830 |
 microsoft/aurora | An implementation of a machine learning model for predicting atmospheric variables | 267 |
 benedekrozemberczki/pytorch_geometric_temporal | A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,694 |
 thumnlab/autogl | An autoML framework for machine learning on graphs, enabling researchers and developers to automate the process of building and training neural networks on graph data. | 1,094 |