darioizzo geodesyNets issues

darioizzo / geodesyNets

Experiments with artificial neural networks and geodesy

GNU General Public License v3.0

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issues

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Added sqrt loss

#58 gomezzz closed 3 years ago
0
Create sqrtL1 loss

#57 gomezzz closed 3 years ago
0
Create error / loss function to be comparable to papers and compare acc component-wise

#56 gomezzz closed 3 years ago
1
Use KD Tree to discard points to close to the asteroid in altitude sampling

#55 gomezzz closed 3 years ago
0
Incorporate visual information of asteroid into training

#54 gomezzz closed 3 years ago
0
Try a heatmap plot for contour style and add value legend to it

#53 gomezzz closed 3 years ago
0
Optimize validation

#52 gomezzz closed 4 years ago
1
Create animation of contour plots

#51 gomezzz closed 3 years ago
0
Optimize / Fix validation (currently long)

#50 gomezzz closed 4 years ago
1
Bennu run

#49 darioizzo closed 4 years ago
0
plots view2d added

#48 darioizzo closed 4 years ago
0
plots and meshes added #45

#47 darioizzo closed 4 years ago
0
Create a validation function that evaluates loss to high precision #33

#46 gomezzz closed 4 years ago
0
Create contour plots of rho cross sections of asteroids

#45 gomezzz closed 4 years ago
1
Create Torus Mesh for test

#44 gomezzz closed 4 years ago
1
Add skip connections or residual layers to see if it improves gradients #31

#43 gomezzz closed 4 years ago
0
New overnight run

#42 darioizzo closed 4 years ago
2
Added sirens

#41 gomezzz closed 4 years ago
0
Adding the acc to the benchmark #23

#40 gomezzz closed 4 years ago
0
Add L1 normalized loss (no square in terms) and contrastive loss #17

#39 gomezzz closed 4 years ago
0
Add asteroid shape-based sampling to target point sampler #34

#38 gomezzz closed 4 years ago
0
Add siren

#37 gomezzz closed 4 years ago
0
Sample up to N in rejection plot to get same number / density

#36 gomezzz closed 4 years ago
0
Add contrastive loss function

#35 gomezzz closed 4 years ago
1
Add asteroid shape-based sampling to target point sampler

#34 gomezzz closed 4 years ago
0
Create a validation function that evaluates loss to high precision

#33 gomezzz closed 4 years ago
0
Dario misc

#32 darioizzo closed 4 years ago
0
Add skip connections / residual layers to see if it improves gradients

#31 gomezzz closed 4 years ago
0
Create datasets of target points for each sample

#30 gomezzz closed 4 years ago
1
Save meshes for all samples (peanut, ...)

#29 gomezzz closed 3 years ago
1
Generate rejection plot overlay by inverting one plot and overlaying it with reduced alpha over the other

#28 gomezzz closed 4 years ago
0
- Added gradient mean/max per layer plot

#27 gomezzz closed 4 years ago
0
- Added random seed fixing

#26 gomezzz closed 4 years ago
0
Generate rejection plot overlay by inverting one plot and overlaying it with reduced alpha over the other

#25 gomezzz closed 4 years ago
0
Fix the random seeds

#24 gomezzz closed 4 years ago
0
Adding the ACC to the Benchmark

#23 gomezzz closed 4 years ago
2
Create an evaluation notebook that collects results from benchmark script and displays meshes etc.

#22 gomezzz closed 3 years ago
1
Add trapzezoid integration for acceleration-based in _integration.py

#21 gomezzz closed 4 years ago
0
Create some tests for integration & testing if points inside asteroid

#20 gomezzz closed 3 years ago
0
Create a script to run all samples, encodings and store results etc. #10

#19 gomezzz closed 4 years ago
0
Plot gradients, std(grad), U values over time

#18 gomezzz closed 4 years ago
0
Add L1 normalized loss (no square in terms) and contrastive loss

#17 gomezzz closed 4 years ago
1
Create overleaf document where we write down some equations, check magnitude of errors with GM , acceleration etc.

#16 gomezzz closed 4 years ago
1
Investigate spiking loss error

#15 gomezzz closed 3 years ago
4
Create Visualizations using U

#14 gomezzz closed 3 years ago
0
cleaning

#13 darioizzo closed 4 years ago
0
Add trapzezoid integration for acceleration-based in _integration.py

#12 gomezzz closed 4 years ago
0
implementing acceleration based learning

#11 darioizzo closed 4 years ago
0
Create a script to run all samples, encodings and store results etc.

#10 gomezzz closed 4 years ago
0
Added target point sampling to module

#9 gomezzz closed 4 years ago
0

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