Skip to content
This repository was archived by the owner on Sep 28, 2024. It is now read-only.

Commit 6014f52

Browse files
committed
Fix links
1 parent aac2056 commit 6014f52

File tree

1 file changed

+2
-2
lines changed

1 file changed

+2
-2
lines changed

docs/src/index.md

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -9,7 +9,7 @@ CurrentModule = NeuralOperators
99
| **Ground Truth** | **Inferenced** |
1010

1111
The demonstration shown above is Navier-Stokes equation learned by the `MarkovNeuralOperator` with only one time step information.
12-
Example can be found in [`example/FlowOverCircle`](https://github.com/foldfelis/NeuralOperators.jl/tree/master/example/FlowOverCircle).
12+
Example can be found in [`example/FlowOverCircle`](../../example/FlowOverCircle).
1313

1414
## Quick start
1515

@@ -85,4 +85,4 @@ opt = ADAM(learning_rate)
8585
parameters = params(model)
8686
Flux.@epochs 400 Flux.train!(loss, parameters, [(xtrain, ytrain, grid)], opt, cb=evalcb)
8787
```
88-
A more complete example using DeepONet architecture to solve Burgers' equation can be found in the [examples](https://github.com/foldfelis/NeuralOperators.jl/tree/master/example/Burgers/src/Burgers_deeponet.jl).
88+
A more complete example using DeepONet architecture to solve Burgers' equation can be found in the [examples](../../example/Burgers/src/Burgers_deeponet.jl).

0 commit comments

Comments
 (0)