https://github.com/JuliaDiffEq/DiffEqFlux.jl

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Revision Author Date Message Commit Date
a7e78cb Merge pull request #40 from JuliaDiffEq/mixed_neural fix and test partial neural ODEs 10 April 2019, 15:11:07 UTC
b65d342 fix out of place type conversions 10 April 2019, 14:37:43 UTC
ecd240c add partial neural adjoint 10 April 2019, 14:03:57 UTC
01184f0 fix and test partial neural ODEs 10 April 2019, 14:03:57 UTC
c9e9000 Merge pull request #39 from jessebett/grad_tests_u0 Tests for gradients through u0 09 April 2019, 22:00:09 UTC
c1e3c09 clean up tests 09 April 2019, 18:02:18 UTC
b388e5a Don't re-track u0 in neural_ode_rd 09 April 2019, 17:53:00 UTC
213377f fix tests to use downsample in adjoint 09 April 2019, 17:04:30 UTC
8daffc8 Back! gradients through u0 09 April 2019, 16:54:45 UTC
4b4cc15 fix tests to really test the gradient w.r.t. u0 09 April 2019, 16:35:35 UTC
ad85bb1 some reverse mode tests were already passing 09 April 2019, 16:29:47 UTC
36bf8bd reshape u0 derivative return 09 April 2019, 16:27:10 UTC
9b2a074 properly pass initial condition to adjoint 09 April 2019, 16:13:18 UTC
cb6dd99 Tests for gradients through u0 09 April 2019, 15:49:45 UTC
a5b6c1b Merge remote-tracking branch 'origin/master' 09 April 2019, 15:08:43 UTC
daaac9a allow array{array} p 09 April 2019, 15:08:38 UTC
05acf72 Update README.md 09 April 2019, 14:06:19 UTC
573d5bb Fix functional u0 Fixes https://github.com/JuliaDiffEq/DiffEqFlux.jl/issues/32 09 April 2019, 13:52:28 UTC
8db13e5 Merge pull request #38 from JuliaDiffEq/test_fixes Flip the neural_ode_rd tests and fix batching 09 April 2019, 13:38:51 UTC
d6ef677 fix batching with time series 09 April 2019, 13:10:07 UTC
64669c7 fix batch with only end 09 April 2019, 12:37:06 UTC
70eca9a Flip the neural_ode_rd tests These are labelled as broken but now pass! 09 April 2019, 12:21:46 UTC
69b3276 Merge pull request #37 from JuliaDiffEq/zero_gradients Fix zero'd gradients from save_start 09 April 2019, 10:58:13 UTC
c2380fc handle save_start and return vector if only end 09 April 2019, 03:38:12 UTC
4f09431 clean up output handling 09 April 2019, 03:03:43 UTC
1ea609c Fix zero'd gradients from save_start 09 April 2019, 02:46:36 UTC
6013056 Merge pull request #36 from jessebett/grad_tests Tests check gradient values 09 April 2019, 01:34:03 UTC
e587472 unmark non-broken 09 April 2019, 01:12:50 UTC
5183697 simplify tests 09 April 2019, 00:53:44 UTC
a5215ef fix tests to properly set broken 09 April 2019, 00:04:49 UTC
7560f21 testbroken instead of test 08 April 2019, 23:46:57 UTC
dfacd25 Cleaner testsets 08 April 2019, 23:46:57 UTC
559ca69 Added more tests for neural_ode_rd and tests with batches 08 April 2019, 23:46:57 UTC
a3bc9c4 Check gradient values 08 April 2019, 23:46:57 UTC
2444df3 fix SDE tests 05 April 2019, 19:12:57 UTC
23810a8 fix dmsde u0 handling 03 April 2019, 15:07:09 UTC
5897d86 Merge pull request #30 from pochoi/pochoi-patch-1 README example 27 February 2019, 11:54:37 UTC
4b9dc2a correct example 27 February 2019, 09:47:05 UTC
15031f5 Update README.md 16 February 2019, 13:26:23 UTC
2c879f8 Merge pull request #26 from MikeInnes/mji/reverse-reverse Simplify neural_ode_rd 16 February 2019, 13:02:29 UTC
1b91d44 simplify reverse mode 15 February 2019, 14:28:02 UTC
fd7defa Merge pull request #17 from MikeInnes/mji/du0 expose gradients of u0 08 February 2019, 15:40:30 UTC
5fc2288 expose gradients of u0 05 February 2019, 16:20:10 UTC
26449cb Update README.md 28 January 2019, 11:53:08 UTC
66d15bc Merge pull request #14 from scheidan/patch-1 Fixes minor typos and formating 28 January 2019, 11:31:29 UTC
25341c9 Fixes minor typos and formating 28 January 2019, 10:34:07 UTC
4cc55da Merge pull request #13 from JuliaDiffEq/reverse_mode Reverse-Mode Neural ODE 25 January 2019, 14:38:03 UTC
0106d76 stochastic passes 25 January 2019, 10:36:01 UTC
f361301 update some SDE tests 24 January 2019, 17:35:04 UTC
5db830e test more layers 24 January 2019, 16:34:36 UTC
7389e1f Reverse-Mode Neural ODE 24 January 2019, 14:32:41 UTC
530d7c8 Update README.md 23 January 2019, 22:39:58 UTC
fecb611 Update README.md 23 January 2019, 22:10:11 UTC
e4d7a8f Update README.md 23 January 2019, 19:04:58 UTC
f9c2a92 Merge pull request #10 from devmotion/patch-1 Fix some typos 23 January 2019, 01:38:32 UTC
7362cd8 Fix some typos 23 January 2019, 00:03:15 UTC
34539c6 fix README examples 22 January 2019, 15:03:10 UTC
3da245d update readme 22 January 2019, 14:34:12 UTC
4604f00 move the `f` outside of `diffeq_rd` 22 January 2019, 14:29:22 UTC
452e342 fix neural ode tests 22 January 2019, 14:00:53 UTC
b7d9868 fix up tests 22 January 2019, 13:54:29 UTC
e3ea44f Update layers.jl 22 January 2019, 13:33:38 UTC
1e6ab4f Update layers.jl 22 January 2019, 13:23:57 UTC
75157a3 make neural_ode work 22 January 2019, 12:42:28 UTC
9ecc80d add GPUs to the docs 22 January 2019, 06:39:53 UTC
d2de0db add a readme and CI badges 22 January 2019, 06:30:00 UTC
a50aa3e Merge pull request #6 from JuliaDiffEq/neural_ode add neural ode and sde layers 22 January 2019, 04:42:19 UTC
3c42d3b change neural mSDE test condition to generate a time series 22 January 2019, 04:41:00 UTC
c983fe2 add neural mSDE 22 January 2019, 04:40:30 UTC
b724623 default to adjoint method 21 January 2019, 22:52:28 UTC
38d866e add neural ode layers 21 January 2019, 22:43:11 UTC
73aa7c8 u0 kwarg 21 January 2019, 22:28:57 UTC
7b439b8 Merge pull request #5 from MikeInnes/utils Parameter munging utilities 21 January 2019, 21:29:20 UTC
3bdc620 utils 21 January 2019, 14:31:27 UTC
9455d81 Update README.md 10 January 2019, 08:40:52 UTC
553127c Update .travis.yml 10 January 2019, 08:40:26 UTC
3eb54a5 Update layers.jl 10 January 2019, 08:39:32 UTC
5baada7 Rename DiffEqML.jl to DiffEqFlux.jl 10 January 2019, 08:39:20 UTC
9f2dcb6 Update DiffEqML.jl 10 January 2019, 08:39:06 UTC
1b77eef Merge pull request #3 from YingboMa/delta Make `diffeq_adjoint` working and work with Δ 10 January 2019, 00:03:21 UTC
1baa344 diffeq_adjoint with Δ is working! 09 January 2019, 23:14:16 UTC
d202130 play with Delta 09 January 2019, 22:13:38 UTC
26164ab Update loss_reduction′ 09 January 2019, 21:14:35 UTC
0f51ef4 add ntuple and rm autojacvec=false 09 January 2019, 20:45:08 UTC
1bc9575 Fix remake 09 January 2019, 20:41:13 UTC
ff4e414 Merge branch 'master' of github.com:JuliaDiffEq/DiffEqML.jl 09 January 2019, 20:39:46 UTC
d0e1b0a diffeq_adjoint is working 09 January 2019, 20:38:03 UTC
b6153a3 solve on regular numbers for adjoint 09 January 2019, 20:11:39 UTC
dfccbba attempt adjoint 09 January 2019, 19:34:26 UTC
ec6f511 Merge pull request #1 from YingboMa/master Fix diffeq_fd with given `n` 09 January 2019, 19:20:07 UTC
74faf4b Fix diffeq_fd with given `n` 09 January 2019, 19:17:29 UTC
80f2e2b mixed mode to scalar is working 09 January 2019, 19:11:11 UTC
be58dbe improve tests and fix fd 09 January 2019, 18:55:47 UTC
9aac75d expand test to different layer types 09 January 2019, 17:56:34 UTC
9f21e9a fd is calling but not working 09 January 2019, 17:49:52 UTC
53d3600 restructure layer code 26 December 2018, 15:26:13 UTC
626eeb6 initial code for diffeq Flux layers 26 December 2018, 15:21:41 UTC
abac554 Initial commit 26 December 2018, 15:09:30 UTC
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