neural-lam

colasgael/machine-learning-for-solar-energy-prediction240

Solar forecasting model

Develops a predictive model to forecast the power production of solar panels based on weather data

nixtla/mlforecast924

Forecasting library

A framework to perform time series forecasting using machine learning models on large datasets.

junyangwang0410/amber98

MLLM benchmark

An LLM-free benchmark suite for evaluating MLLMs' hallucination capabilities in various tasks and dimensions

wizaron/deep-forecast-pytorch180

Wind speed predictor

A deep learning-based framework for predicting wind speeds using LSTM networks in PyTorch.

openclimatefix/graph_weather209

Weather forecaster

An implementation of a forecasting model using graph neural networks to predict global weather patterns.

molcik/python-neuron40

Neural Network Library

A Python library for implementing and training various neural network architectures

lightning-universe/lightning-bolts1.7K

Deep learning toolkit

Provides a toolbox of components to extend PyTorch Lightning for deep learning research and production

damitkwr/esrnn-gpu319

Time series forecasting model

A PyTorch implementation of an optimized deep learning model for time series forecasting on GPUs.

aalto-quml/climode75

Climate forecasting framework

A framework for training and evaluating physics-informed neural ODEs for climate and weather forecasting

mrgemy95/visual-interaction-networks-pytorch166

Future prediction model

An implementation of Deepmind's Visual Interaction Networks using PyTorch to predict future events in physical scenes.

tristandeleu/pytorch-maml-rl830

Reinforcement Learning framework

Replication of Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks in PyTorch for reinforcement learning tasks

microsoft/aurora267

Atmospheric predictor

An implementation of a machine learning model for predicting atmospheric variables

benedekrozemberczki/pytorch_geometric_temporal2.7K

Temporal graph NN library

A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models

thumnlab/autogl1.1K

Graph ML automation toolkit

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.