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Thank you for sharing your code. During inference, when we obtain the pose distribution p(y|X) by the probabilistic PnP layer, how to use the p(y|X) to obtain the y*? We can not understand the Sectio…
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|------------------|-----------------|
|Previous ID | SR-15666 |
|Radar | None |
|Original Reporter | @BradLarson …
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🔬 *This is an experiment in doing radically open research. I plan to post all my work on this openly as I do it, tracking it in this issue. I'd love for people to comment, or better yet collaborate! *…
colah updated
5 years ago
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### Description
Factored out second testcase from https://github.com/apple/swift/issues/72363
### Reproduction
```swift
import _Differentiation; protocol P {}
struct D: P, Differentiable {}; func…
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I want to know the quantitative comparisons between PSNR loss and L1 loss.
Since PSNR loss is adopted in NAFNet and HINet, I guess the PSNR loss achieves the better performance.
By the way, why…
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I don't know if we can fix this bug, but it should still be reported. In the current directory, make the following files:
**Differentiable.swift**
```swift
public protocol Differentiable {
a…
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Hello all,
I have a very simple question. How to compute gradients w.r.t. a subset of parameters. Let's say I have a model like:
```swift
struct Model: Layer {
var a = Tensor(1.0)
var…
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As noticed in PR #668, we don't have a definition of derivative that we use consequently throughout the code. In many (most?) places we mean the Frechet derivative (linear approximation), but in some …
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## Background
I think instead of focusing on MiCE this week, we might set up an even simpler optimization problem, no model needed.
Addition of two numbers, for example:
Input:
a string c…
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Very exciting to learn about this effort! A julia native ML package improving on Sklearn is one of the key missing pieces of the ecosystem.
Here's a list of ideas I'd like to bring to your attentio…