-
Hello MilsteinLab,
congratulation on an exciting paper/algorithm! It would be very helpful if you could provide a requirement file for the python environment.
Best regards,
Sarah
PS. I want to…
-
hello,
someone can help me please.
I am still new in the use of python
I was unable to find the sanifix4 module when I installed auto-martini. Then I use pip install sanifix4 to install sanifix4, t…
-
```
def _are_same(expected, actual, ignore_value_of_keys, ignore_missing_keys=False):
# Check for None
if expected is None:
return expected == actual, Stack()
…
-
Hey Caroline,
Nice work! Hope I can provide some feedback that's helpful!
First off, I think you might have made a mistake when you set your Y values. I believe you set Y equal to the images rathe…
-
Hi, get_pred_ner() functions in your biaffine_ner_model.py
top_spans = [sorted(top_span,reverse=True,key=lambda x:x[3]) for top_span in top_spans]
sent_pred_mentions = [[] for _ in xrange(…
-
Generating Gaussian random numbers in Numpy and passing them into Theano is considerably faster than generating the numbers in Theano itself. However, this does not apply to uniform random numbers (as…
hunse updated
7 years ago
-
```
Take the code
"""
def add(a, b):
c = a + b
d = a + b
return c + d
def main():
for _ in xrange(12000):
add(1, 1)
"""
that is, we forcibly specialize add() on ints. We currentl…
-
-
**Scenario:**
I have a Redis stream being read by multiple consumers in a consumer group. I need to get some sort of visibility into the system to understand what is the pending count, number of cons…
-
From the code below it seems that at each step only the number of videos trained at each step is equal to batch size and also these videos are chosen at random as i see next_batch_start value from the…