https://github.com/adamd1985/temporal_convolution_networks_for_energy_demand_forecast
Temporal Convolution Neural Networks applied to the Electricity Demand Forecast for Malta's grid.
ai
convolutional-neural-networks
deep-neural-networks
electricity-forecasting
electricity-market
machine-learning
Added: over 1 year ago - Last Synced: 11 months ago
- Created: January 28, 2024
- Relevant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
- Main Language: Jupyter Notebook
- Commits: 6
- Committers: 2
- Issues: 0
- Pull Requests: 1
- Owner: adamd1985
- Stars: 3
- Forks: 1
- Packages: 0

https://github.com/PRBonn/LiDAR-MOS
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
deep-learning
deep-neural-networks
dynamic-slam
lidar
lidar-slam
mapping
motion-detection
moving-object-segmentation
point-cloud
segmentation
slam
Added: over 1 year ago - Last Synced: 11 months ago
- Created: June 20, 2021

https://github.com/epistimio/orion
Asynchronous Distributed Hyperparameter Optimization.
auto-ml
deep-learning
deep-neural-networks
hyperparameter-optimization
machine-learning
research
Added: over 1 year ago - Last Synced: 11 months ago
- Created: September 07, 2017

https://github.com/wherobots/geotorchai
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
classification-model
convlstm-pytorch
deep-learning
deep-neural-networks
deepsat
prediction-model
raster-data
satellite-classification
satellite-images
segmentation-models
sequence-models
spatial-data-analysis
spatio-temporal-analysis
spatio-temporal-models
spatio-temporal-prediction
st-resnet
Added: over 1 year ago - Last Synced: 11 months ago
- Created: May 23, 2022
- Relevant topics? true
- External users? true
- Open source license? true
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- Fork? false
- Main Language: Jupyter Notebook
- Commits: 189
- Committers: 6
- Issues: 33
- Pull Requests: 34
- Owner: wherobots
- Stars: 458
- Forks: 35
- Packages: 0

https://github.com/marinadunn/europa-chaos-ml
Automated instance segmentation for ice blocks within Europa's chaos terrain using corrected NASA Galileo images.
computer-vision
convolutional-neural-networks
deep-learning
deep-neural-networks
europa
galileo
geophysics
geoscience
geospatial-analysis
instance-segmentation
mask-rcnn
nasa
nasa-data
neurips-2023
planetary-science
remote-sensing
solar-system
supervised-learning
Added: over 1 year ago - Last Synced: 11 months ago
- Created: October 18, 2023
- Relevant topics? true
- External users? true
- Open source license? true
- Active? true
- Fork? false
- Main Language: Jupyter Notebook
- Commits: 135
- Committers: 3
- Issues: 3
- Pull Requests: 3
- Owner: marinadunn
- Stars: 1
- Forks: 0
- Packages: 0
