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I tried to reproduce LAPSRN just same as paper in CVPR, so I changed optim to SGD. Then, it makes loss go inf. So, I changed loss term divided by batchsize as paper mentioned, but still loss go inf. …
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The link to the source code in the nightly API documentation is broken.
For example in SGD doc: https://docs.rapids.ai/api/cuml/nightly/api.html#cuml.SGD.fit the link for the source is https://github…
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Dear all,
The proposal has been made to obsolete BP
GO:0000717 nucleotide-excision repair, DNA duplex unwinding
GO:0044806 G-quadruplex DNA unwinding
GO:1905466 negative regulation of G-quadrup…
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At present, it is a guess that it may be related to sql db, and more tests and information are needed to verify it.
The affected services are ponder, thegraph
```
URL: https://rpc.darwinia.netw…
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Dear all,
The proposal has been made to obsolete GO:0010501 RNA secondary structure unwinding
see https://github.com/geneontology/go-ontology/issues/29153.
Experimental annotations that need t…
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```python
import tensorflow as tf
import numpy as np
def build_graph(rate):
x = tf.Variable(2,dtype=tf.float32)
# y = x ** 2 + tf.exp(x / (x ** 2 + 1))
y = tf.exp(x / (x ** 2 + 1) …
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Expand the tutorial on batching comparing SGD and SVRG:
1. Show that, if you set the stepsize of the right size, the algorithm converge to the correct estimate
2. Compare with SGD, which won't con…
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책에 있는 chapter10-sgd 코드를 작성해서 실행했는데, loss가 계속 nan이 찍혔습니다.
본 레포지토리를 클론해서 코드를 그대로 실행했는데 동일하게 loss가 계속 nan이 찍히네요.
로컬, 코랩 둘 다 동일한 문제 발생합니다. 버전문제일까요?
코드 확인 좀 부탁드리겠습니다.
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## Describe the bug
Currently FedAvg does not perform well even in homogeneous settings for models with batchnorms such as resnet18. The accuracy over epochs curve is highly erratic and does not reac…