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Hi,
I want to know, how can I train NLP system ( \* like tagger, parser, NER, word2vec, doc2vec .. etc) by using my own data. But unfortunately, i am not getting proper documentation. Can anyone help…
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OCR Error Correction Using Character Correction and Feature-Based Word Classification
论文:https://arxiv.org/pdf/1604.06225.pdf
代码:
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Hi there,
I'm having a very weird problem dealing with a two-class segmentation problem: during training, the loss (generalized Dice) on both training and validation set looks reasonable (see figur…
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In machine learning, naive Bayes classifiers are a family of simple probabilistic classifiers based on applying Bayes' theorem with strong (naive) independence assumptions between the features. An adv…
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expected (new) date : july 8th
The moving part closely followed of this release is Python-3.7 with numba.
The other parts are in follow-up mode. (10x less effort)
expected features:
- WinPyth…
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Continue to #702, the following steps are necessary to make GP module more accessible.
- [x] Support multidimensional output (currently, the output `y` is assumed to be 1D). This should not be comp…
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As in title -
1) is there a specific notebook I should start with or are they all pretty much independent and self-contained.
2) Also, any recommendations for further reading?
3) In [multi…
IanQS updated
6 years ago
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As mentioned in taxdata issue [#119](https://github.com/open-source-economics/taxdata/issues/119), CPS is missing the following variables -
e02000: Total Sch E income or loss (income or loss from …
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Hi everyone,
currently I'm trying to cluster some artificial data. While I'm horribly failing at it (due to noise, I think), I stumbled about some weird occurrence in one of my results.
I clustere…
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Base on the current 1 layer NN, I scan the reuse factor and precision. The performance are plotted as in https://www.dropbox.com/s/jmn4b4dwt5vjtuk/Zhenbin_HLSScan.pdf?dl=0