Upload x_train
Browse filesTraining data for Monet2.0 consisting of particle motion trajectories of length 199 steps from the following diffusion classes: Brownian motion, fractional Brownian motion, continuous time random walk, Levy walk, scaled Brownian motion, annealed transient time motion, and real experimental liquid phase TEM trajectories of gold nanorods diffusing in water.
- x_train.npy +3 -0
x_train.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a610298e6bd3d8c5b9f9e36bc5190d0e61b677a147b15df1b63ed22737b45e64
|
| 3 |
+
size 178304128
|