GitHub topics: forward-model
Hammerling-Research-Group/FastGaussianPuff
Production code the Fast Implementation of the Gaussian Puff Forward Atmospheric Model
Language: Python - Size: 1.56 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 9 - Forks: 4

lgrcia/spotter
Approximate forward models of fluxes and spectra time-series of non-uniform stars
Language: Python - Size: 24 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 7 - Forks: 4

araffin/srl-zoo
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
Language: Python - Size: 4.51 MB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 163 - Forks: 18

eelregit/pmwd
Differentiable Cosmological Forward Model
Language: Python - Size: 20.4 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 78 - Forks: 19

MindTheGap-ERC/CarboCATLite
CarboCATLite model by Peter Burgess
Language: MATLAB - Size: 49.5 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

wanying4/Steepest-Descent-Method-and-DOT-Imaging
Diffuse Optical Tomography (DOT) is an non-invasive optical imaging technique that measures the optical properties of physiological tissue using near infrared spectrum light. Optical properties are extracted from the measurement using reconstruction algorithm. This project uses the steepest descent method for reconstruction of optical data.
Language: MATLAB - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

fomorians/forward-models
A tutorial on forward models for model-based reinforcement learning.
Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 0

alejandrods/Analysis-of-classifiers-robust-to-noisy-labels
Analysis of robust classification algorithms for overcoming class-dependant labelling noise: Forward, Importance Reweighting and T-revision. We demonstrate methods for estimating the transition matrix in order to obtain better classifier performance when working with noisy data.
Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 2
