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Post questions here for this week's fundamental readings:
Goodfellow, Ian, Yoshua Bengio, and Aaron Courville. 2016. Deep learning. Chapter 12.2 [“Convolutional Networks.”](http://www.deeplearning…
lkcao updated
6 months ago
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Paper is [here](http://arxiv.org/abs/1502.01710)
Good for [Deep learning](https://github.com/shogun-toolbox/shogun/wiki/GSoC_2015_project_deep_learning) applicants
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I'm not sure how lightweight you want `stellar` to be, but `quanteda` is a fairly heavy dependency, itself bringing in `ggplot2`, various `Rcpp` packages, half the tidyverse, parallel packages, and ma…
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https://github.com/HKUNLP/instructor-embedding
https://simonwillison.net/2023/Jan/13/semantic-search-answers/
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I'm working on an OJS Plugin that collects and exposes geospatial metadata for articles, see https://github.com/TIBHannover/ojsGeo/
I would like to document the idea (e.g., in an issue) of extendin…
nuest updated
11 months ago
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Post questions here for one or more of our fundamentals readings:
Manning and Schütze. 1999. Foundations of Statistical Natural Language Processing. MIT Press:
Chapter 3 (“Linguistic foundati…
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Comment below with questions or thoughts about the reading for this week's workshop.
Please make your comments by Wednesday 11:59 PM, and upvote at least five of your peers' comments on Thursday pr…
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Initial benchmarking of the new BKD-based shape indexing suggest that searches can be somewhat under-performing. I open this ticket to share the findings and to open a discussion how to speed up the…
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I am looking for testers to test out the package to compare it to other approaches. Inviting @jlacko I see you used keras in this blog post
http://www.jla-data.net/eng/vocabulary-based-text-classifi…
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Hi Yang,
I am reproducing the experiments in the paper. Can you give some hints of the best combination of hyper-parameters? Such as batch_size, learning_rate, and how many steps is most suitabl…