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Hi all,
Long fan of your efforts with the Xgboost algorithm/implementation. It is super fast and memory-friendly.
I found a problem when trying to see feature importance when using the `xgb.cv`…
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Rust compiler:
rustup show
Default host: x86_64-unknown-linux-gnu
stable-x86_64-unknown-linux-gnu (default)
rustc 1.35.0 (3c235d560 2019-05-20)
Project: https://github.com/svenschmidt75/R…
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Hi,
I am currently using SPECFEM Globe to produce low frequency synthetics. It seems like the resolution period cannot go above 68s. Is it possible to simulate very long period seismograms, for exa…
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import tensorflow as tf
import numpy as np
import matplotlib.pyplot as plt
import scipy.io
from scipy.interpolate import griddata
import time
import cmath
np.random.seed(1234)
tf.set_random_…
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Moved from pymc-devs/pymc3#543
Connecting a single Stochastic variable to a large number of other Stochastic variables takes a lot of memory. E.g.
``` python
def create_model(i, a):
b = pymc.No…
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my environment is:
ubuntu 18.04, cpu i5-7500, GTX1070, cuda10.0, pytorch1.3.1
```
[ 0] 70 || B: 4.143 | C: 4.777 | M: 5.276 | S: 0.683 | T: 14.878 || ETA: 19 days, 7:47:49 || timer: 0.349
…
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I do model train :
```
./fasttext supervised -input /home/data/20201018_20201018_train.tsv -output /home/data/output_models/fasttext -autotune-validation /home/data/20201018_20201018_dev.tsv -autot…
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Add some sort of account for the batteries environment?
For example: If two batteries are being modeled, one is inclosed in a chamber the other exposed to space, the first battery's temperature wo…
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I'm trying to train model based on 14 classes, each class has from 2 to 400 images(small size 120x120).
I notice that each epoch last two batches takes really long time to complete. It stucks like th…
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**Describe the bug**
When using [`art.attack.evasion.LowProFool`](https://github.com/Trusted-AI/adversarial-robustness-toolbox/blob/main/art/attacks/evasion/lowprofool.py) method, if I set paramete…