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Hi Nitish,
I choose too use your eigenmat library since my laptop's GPU isn't compatible with cudamat. Then I've discovered several bugs while using the eigenmat.I fixed trivial ones which I'll list b…
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您好,您的项目rawDataProc/xml_parse.py 中的test.xml 文件能否发给我学习一下 shufeixue@163.com
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Hello,
I'm trying to import DeepTables into my Google Colab notebook like so:
```
import deeptables
from deeptables.models import make_experiment
from deeptables.models.hyper_dt import DTModu…
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I use the h2o.glm algorithm for the Kaggle “Allstate Claims Severity” completion. It works create!
Actually I played with the interactions Attribute. It works until the number of columns does not exc…
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Deeplabel reports errors when exporting files on ubuntu 20.04
My source folder with images: `/home/vlad/Pictures/Cleaned/zluty/`
DB file at: `/home/vlad/Pictures/Cleaned/zluty/deeplabel-db.lbldb`…
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The initiative is great, but more complete installation instructions should be provided. For example, all the example for HuggingFace have incomplete requirements.txt files. I managed to get the QA ex…
dinel updated
2 years ago
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This error occurs when trying to use TrainingWrapper. If the training data is 1 megabyte in total, no error occurs.
On larger data this error appears.
Apparently the script is trying to process al…
0x7o updated
9 months ago
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on Mac 10.9.2 identifier "uint" is undefined error can be fixed by changing uint to int in cudamat_conv_kernels.cuh
me:~/dev/ai/deepnet/cudamat$ make
nvcc -O3 \
-v \
-gencode=arch=co…
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https://dx.doi.org/10.1093/nar/gkv1025
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Changing the Makefile to match the compute capabilities of the device at hands can provide performance benefits. For example, on a GTX 580 (compute capability 2.0), adding `-arch=sm_20` to the `nvcc` …