https://github.com/JuliaDiffEq/DiffEqFlux.jl
Tip revision: b70f7243f51860fb2c63cec9f4a58fbbe33ee543 authored by Christopher Rackauckas on 21 July 2019, 12:45:28 UTC
Update Project.toml
Update Project.toml
Tip revision: b70f724
| File | Mode | Size |
|---|---|---|
| REQUIRE | -rw-r--r-- | 57 bytes |
| layers.jl | -rw-r--r-- | 2.8 KB |
| layers_dde.jl | -rw-r--r-- | 802 bytes |
| layers_sde.jl | -rw-r--r-- | 838 bytes |
| neural_de.jl | -rw-r--r-- | 5.2 KB |
| neural_de_gpu.jl | -rw-r--r-- | 5.3 KB |
| odenet.jl | -rw-r--r-- | 782 bytes |
| odenet_gpu.jl | -rw-r--r-- | 802 bytes |
| partial_neural.jl | -rw-r--r-- | 1.9 KB |
| runtests.jl | -rw-r--r-- | 857 bytes |
| utils.jl | -rw-r--r-- | 231 bytes |
