-
I have two questions.
1. I notice that you input data is log2(RSEM+1) transformed and scale to [0,1]. May I ask how to scale the data? BTW, RSEM seems to be the only normalization method for PreMSIm …
-
I believe that a useful feature would be to implement a wrapper for the pytorch distributed data parallel layer.
My personal motivation for this is to be able to use things like synchronized batch…
-
Below is a simple piece of code to try YellowFin on my dataset.
```
x = tf.placeholder( tf.float32, [ None, train_x.shape[ 1 ] ] )
y = tf.placeholder( tf.float32, [ None, train_y.shape[ 1 ] ] )
…
-
**Describe the bug**
Chinese Pinyin search is not accurate in few Chinese character
**To Reproduce**
Steps to reproduce the behavior:
1. Go to https://ms-c010131c93cd-3147.sgp.meilisearch.io/
2…
-
### Description
P0 priority tests `data_types_and_io.file.normalize_csv_file` and `data_types_and_io.folder.download_and_normalize_csv_files` are broken. Error:
```
Message:
Failed to get da…
-
Hi, I'm trying to lift 2D pose to 3D using custom model and custom data. My 2D pose estimation model outputs the 17 COCO keypoints in [0,1] interval. My model is in ONNX format so I'm also converting…
-
While I was trying to use ParallelCoordinates with normalization on a dataset with missing value, I got the following error.
ValueError: Input contains NaN, infinity or a value too large for dtype(…
-
The normalization is the process of rescaling attributes to the range of 0 to 1. This means that the largest value for each attribute is 1 and the smallest value is 0. I propose that it is a good tech…
-
A volume plot with negative values does not seem to work.
Consider the following example (adapted from Beautiful Makie):
```julia
using GLMakie # same with WGLMakie
let
x = y = z = 1:10
…
-
Hey there! First of all: thanks for the amazing work!
I've hit the problem that my `train.py` process gets killed by the Linux kernels OOM killer. My question is: Has someone experienced the same? …