rasmi

7 ms·

1.
Lilac: Analyze, structure, and clean unstructured data(lilacml.com)
7 points by rasmi 3y ago|0 comments
2.
TouchType Tool (for iOS multi-touch devices)(schultzschultz.com)
2 points by rasmi 5y ago|0 comments
3.
by rasmi 5y ago
See: https://csvchain.com/#faq
4.
CSVCHAIN - NFTs backed by CSV technology(csvchain.com)
284 points by rasmi 5y ago|156 comments
5.
Worldcoin(worldcoin.org)
105 points by rasmi 5y ago|101 comments
6.
Data Visualization and the Modern Imagination(exhibits.stanford.edu)
227 points by rasmi 6y ago|20 comments
7.
Farewell, TensorFlow(mrry.github.io)
4 points by rasmi 6y ago|0 comments
8.
by rasmi 7y ago
Congratulations on your success! I'm actually familiar with the author's past talks and research, and am not just assuming he's competent because he lists his affiliation with Princeton. I encourage you to familiarize yoursel
9.
by rasmi 7y ago
Not to indulge the troll, but Arvind Narayanan is an (associate) professor of CS at Princeton and is one of the foremost researchers in the field on topics of ML/data privacy and ethics [0]. His papers/talks/tweets regularly
10.
Benchmarking Transformers: PyTorch and TensorFlow(medium.com)
2 points by rasmi 7y ago|0 comments
11.
Sartorial Hacking to Combat Surveillance(adversarialfashion.com)
3 points by rasmi 7y ago|0 comments
12.
by rasmi 7y ago
Code here: https://github.com/google/robotstxt
13.
Google Cloud AI Workshop Experiments(cloud.google.com)
2 points by rasmi 7y ago|0 comments
14.
Reproducibility as a Vehicle for Engineering Best Practices(docs.google.com)
7 points by rasmi 7y ago|0 comments
15.
Google Fact Check Explorer(toolbox.google.com)
1 points by rasmi 7y ago|0 comments
16.
Tracking Phones, Google Is a Dragnet for the Police(nytimes.com)
411 points by rasmi 7y ago|203 comments
17.
Ford Taps the Brakes on the Arrival of Self-Driving Cars(wired.com)
3 points by rasmi 7y ago|0 comments
18.
We uncovered 10k times lawmakers introduced copycat model bills(azcentral.com)
5 points by rasmi 7y ago|0 comments
19.
by rasmi 8y ago
Here are two more great articles about Transformers: The Illustrated Transformer (referenced in the parent): http://jalammar.github.io/illustrated-transformer/ The Annotated Transformer: http://nlp.seas.har
20.
by rasmi 8y ago
Source article here: https://www.zdnet.com/article/amazons-cloud-computing-will-s...
21.
How Google Fights Disinformation [pdf](blog.google)
1 points by rasmi 8y ago|0 comments
22.
If Not Notebooks, Then What?(docs.google.com)
4 points by rasmi 8y ago|0 comments
23.
Password Typos and How to Correct Them Securely (2016)(cs.cornell.edu)
2 points by rasmi 8y ago|0 comments
24.
by rasmi 8y ago
For those interested, you can track Beam Python 3 support progress here: https://issues.apache.org/jira/browse/BEAM-1251
25.
Notes on Security in 2019(a16z.com)
3 points by rasmi 8y ago|0 comments
26.
by rasmi 8y ago
The paper is "ImageNet Classification with Deep Convolutional Neural Networks" by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton, and is available here: https://papers.nips.cc/paper/4824-imagenet-classif
27.
by rasmi 8y ago
The search features discussed in the article are now available through Google Cloud Source Repositories: https://cloud.google.com/source-repositories/docs/searching-...
28.
by rasmi 8y ago
I link these resources often, but they are often relevant! See "The ML Test Score: A Rubric for ML Production Readiness and Technical Debt Reduction" [1] and the Rules of Machine Learning [2]. Another classic: "Machine Learni
29.
Introduction to ML Fairness(developers.google.com)
2 points by rasmi 8y ago|0 comments
30.
Google Applied Computing Series(edu.google.com)
4 points by rasmi 8y ago|0 comments

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