sirisian

Had more time to test. The readme is wrong to reference the medium article that changes the head. I used the package and it worked fine. One minor change is...

I spoke too soon. It was training fine for hours then: ``` Complexity # MDL Loss # Expression 0.0 27.1 0.000000000000+x2 Training a NN on the data... NN loss: (tensor(0.0002,...

I fixed this, and I'm running a very long test to see if there's any other issues. My fix was to go into the S_symmetry.py and S_separability.py and before the...

I let it run with my dataset and after hours it hangs forever at this point: ``` aifeynman.run_aifeynman("/home/.../Desktop/test/", "data.txt", 480, "7ops.txt", polyfit_deg=3, NN_epochs=10000) ``` .... ``` Trying to solve mysteries...

I've added this into the array section (and class value types) to ensure that all arrays by default can be shared across threads.

More thoughts related to this. In the generics extension I refer to the point there's no ```int``` or ```uint``` base type. This can be remedied by changing the types to...

Updated https://github.com/sirisian/ecmascript-types/blob/master/README.md#types-proposed with these changes. TODO: Update the bit-fields section and the memory layout sections to support bit alignment and sizes optionally.

Fixed in: https://github.com/sirisian/ecmascript-types#type-propagation-to-literals I talked with someone more familiar with this, and it's possible. By propagating type information to literals (and arrays) it makes it so that literals are only...

I just tried this with 1920x1080 and 1600x900 images on 2x 980 GTX and it got the same out of memory error. It would be amazing if this could be...