vkhuc

5 ms·

1.
Stanford Alpaca: An Instruction-following LLaMA model(github.com)
98 points by vkhuc 4y ago|2 comments
2.
by vkhuc 5y ago
Absolutely. This dataset search was first introduced in September of 2018. It was out of beta in January last year: https://www.kdnuggets.com/2020/01/google-dataset-search.html .
3.
GPT-3's Response to Philosophers(drive.google.com)
2 points by vkhuc 6y ago|0 comments
4.
Announcing the Stack Exchange Time Machine(meta.stackexchange.com)
1 points by vkhuc 7y ago|0 comments
5.
DenseCap: Fully Convolutional Localization Networks for Dense Captioning(cs.stanford.edu)
6 points by vkhuc 10y ago|1 comments
6.
Google opens access to its speech recognition API(techcrunch.com)
6 points by vkhuc 10y ago|1 comments
7.
End-To-End Memory Networks for question-answering tasks with demo(github.com)
3 points by vkhuc 11y ago|0 comments
8.
Yann LeCun Keynote – Obstacles on the Path to AI(youtube.com)
3 points by vkhuc 11y ago|0 comments
9.
What a Deep Neural Network thinks about selfies(karpathy.github.io)
262 points by vkhuc 11y ago|50 comments
10.
by vkhuc 11y ago
Thanks. That's the book I'm reading :)
11.
by vkhuc 11y ago
Although I'm working on deep neural nets, this material is too advanced to me. Looks like deep nets + bayesian reasoning is the next big thing.
12.
by vkhuc 11y ago
Why use NLTK when we can use spaCy instead? http://spacy.io/
13.
Big Data Doesn't Exist(techcrunch.com)
1 points by vkhuc 11y ago|0 comments
14.
Question answering on the Facebook bAbi dataset using RNN(smerity.com)
12 points by vkhuc 11y ago|1 comments
15.
Live Cyber Attacks Around the World(dailymail.co.uk)
3 points by vkhuc 11y ago|0 comments
16.
by vkhuc 12y ago
Nice. As a guy who got involved into OpenNLP's development, I'd like to see the comparison too. Also, it would be great if you include SENNA into your benchmark: http://ml.nec-labs.com/senna/
17.
by vkhuc 12y ago
I think they used the methods described in http://www.cs.berkeley.edu/~rbg/papers/r-cnn-cvpr.pdf
18.
Nvidia's demo of real-time object recognition using deep learning [video](youtube.com)
75 points by vkhuc 12y ago|23 comments
19.
BMW Shows Off Gesture Controls and Automated Parking(techcrunch.com)
3 points by vkhuc 12y ago|0 comments
20.
New Startup Sets Out to Bring Google-Style AI to the Masses(wired.com)
2 points by vkhuc 12y ago|0 comments
21.
MetaMind – AI for Enterprise(metamind.io)
6 points by vkhuc 12y ago|1 comments
22.
by vkhuc 12y ago
I've been looking at Factorie for a while but haven't actually done anything heavy with it. I planned to replace the optimizer in CMU's POS tagger with the one implemented in OpenNLP to make the tagger fully Apache. Unfortuna
23.
by vkhuc 12y ago
Yes, Noah Smith's NLP group at CMU is awesome. Btw, Noah is moving to UWash.
24.
by vkhuc 12y ago
The whole project is based on various libraries. In particular, the POS tagger itself uses the OWLQN optimizer from Stanford NLP (licensed under GPL). However, it's possible to remove GPL libraries out of the POS tagger as mentioned he
25.
by vkhuc 12y ago
Great, I've been waiting for the release of TweeboParser. Just before EMNLP14 gets started.
26.
An interactive tutorial on non-parametric Bayes(mimno.org)
10 points by vkhuc 12y ago|0 comments
27.
Glove: Global vectors for word representation(socher.org)
42 points by vkhuc 12y ago|5 comments
28.
by vkhuc 12y ago
There are some (free) good books that haven't been mentioned yet: 1) "Data Mining and Analysis: Fundamental Concepts and Algorithms" by Zaki and Meira http://www.cs.rpi.edu/~zaki/PaperDir/DMABOOK.pdf
29.
by vkhuc 12y ago
I skimmed over Mohri's book and I think the topics it covers are quite narrow. For mathematical foundations of ML, I would recommend the book "Understanding Machine Learning: From Theory to Algorithms" by Shai Shalev-Shwartz.
30.
Deep Learning, NLP, and Representations(colah.github.io)
16 points by vkhuc 12y ago|0 comments

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