38 points | by nivter 6 hours ago
9 comments
I liked this one, but it took me a while to understand, I think this page is a much better intro: https://www.tinyvolt.com/geomatic/examples/getting-started
Bug: https://www.tinyvolt.com/geomatic/examples/broadcasting-in-g... Click "Draw a single n-star" Results in a message popping up "unknown command: n-star"
You have to load the extension, the instructions are in the text above the button.
Cool idea but not very mobile friendly it seems.
Clean implementation. One thing I always look for: how does this degrade when things go wrong? Good error handling is what separates weekend projects from tools people actually use.
Pretty cool. Curious, why a one time payment? Why not, say, a smaller monthly payment?
Not OP, but for me personally I’m tired of subscriptions. I’m grabbing the one time payment before OP changes his mind.
What is autodiff?
Automatic differentiation. For any DAG with a scalar output, it allows calculating its partial derivative wrt the input parameters.
I liked this one, but it took me a while to understand, I think this page is a much better intro: https://www.tinyvolt.com/geomatic/examples/getting-started
Bug: https://www.tinyvolt.com/geomatic/examples/broadcasting-in-g... Click "Draw a single n-star" Results in a message popping up "unknown command: n-star"
You have to load the extension, the instructions are in the text above the button.
Cool idea but not very mobile friendly it seems.
Clean implementation. One thing I always look for: how does this degrade when things go wrong? Good error handling is what separates weekend projects from tools people actually use.
Pretty cool. Curious, why a one time payment? Why not, say, a smaller monthly payment?
Not OP, but for me personally I’m tired of subscriptions. I’m grabbing the one time payment before OP changes his mind.
What is autodiff?
Automatic differentiation. For any DAG with a scalar output, it allows calculating its partial derivative wrt the input parameters.