Immortal333

8 ms·

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by Immortal333 5y ago
Location: India Remote: Yes Willing to relocate: Probably yes Technologies: Python, Flask, PyTorch, Spacy, C Areas: NLP, CV, Optimization Résumé/CV: https://read.cv/dipkumar/ Email: dip.patel.ict@gmail.com Why hir
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by Immortal333 6y ago
>>> The cheapest automatic Tissot is around 700USD. Is the engineering/logistics behind Mechanical watches really costlier than Oneplus phones ?
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by Immortal333 6y ago
Chaining has its own benefits. But I think this doesn't fit the definition of "Pythonic". Again, "Pythonic" is highly debatable. But, You can always break down big chain of operations, into smaller chain using good
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by Immortal333 6y ago
Yes, Exactly same as you described.
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by Immortal333 6y ago
Yes, FAISS not FLANN. my mistake. cann't correct it now. because edit time is gone.
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by Immortal333 6y ago
This is great. This is already better that FLANN (by facebook), Annoy (by spotify). https://github.com/erikbern/ann-benchmarks#evaluated Still, We are very far away from creating reverse video search engine. Also, Most
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by Immortal333 6y ago
Shameless plug. I did similar in my OS course. But, in C. Github: https://github.com/immortal3/EbFS Warning: Terribly written. many hacks.
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by Immortal333 6y ago
I've never worked at a FAANG, too. But main reason I want to work at one is that ability to do project at a scale which is not possible anywhere. Few project are no use for small companies/startups. For example: Optimizing compil
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by Immortal333 6y ago
It might be possible that these people have tried on more platforms (Face recognition APIs) but only reported those where they got good accuracy in terms of defeating system. I personally would like to see tests done on facebook by uploadin
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by Immortal333 6y ago
This is tested on existing models/Face Recognition API which means locked pre-trained models. So, They might have learned way to add pixels such that model outputs very different embedding. This is know issue in deep learning [0][1][2]
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by Immortal333 6y ago
Hint for solving: Esoteric programming language
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by Immortal333 6y ago
Location: Ahmedabad, India Remote: Yes Willing to relocate: Yes Technologies/Skills: Machine Learning, Deep Learning, Computer Vision, Python, Pytorch, Flask Résumé/CV and Email : available on Personal website Personal Website: p
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by Immortal333 6y ago
After, reading your comment. I cross checked result and found out that 3 is most optimal size. I even ran fib(40) on it. with size 2, There are many misses but after 3 and on wards misses are constant(if fib(40), then misses are only 40 whi
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by Immortal333 6y ago
Thanks for similar articles. I am aware of similar articles and that's why I have kept it short and simple. I will add these as references, later. I have enjoyed reading Python Tricks[0] book by Dan bader (author of https://
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by Immortal333 6y ago
Yes, I have mentioned DP in my article as just reference. The Purpose of article was to show that how easy it is to implement caching in python using lru_cache decorator which is in std lib. So, We don't have to install any 3rd party l
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by Immortal333 6y ago
Author here. Sorry, If it feels misleading. I have no intention to mislead anybody. If you can suggest alternative title, I am happy to change title.
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Speeding up function calls with lru_cache in Python(hackeregg.github.io)
125 points by Immortal333 6y ago|79 comments
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by Immortal333 6y ago
When I looked at the features of hey email ( https://hey.com/how-it-works/ , https://hey.com/features/ ), I recognized similar features and ideas already present in many SMS organizers. For examp
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by Immortal333 6y ago
I was able to get the second part of the statement. but I haven't seen the use of "in limit" in a statement like this. Yes, the universal approximation is a strong claim. NN has been proven to have universal approximation the
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by Immortal333 6y ago
"We show that this architecture gives rise to universal learning capabilities in the limit, with effective model capacity increasing as a function of network size in a manner comparable with deep ReLU networks." What exactly this
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by Immortal333 6y ago
Yes, English is not my native language. I think I can tell someone to proofread it and correct my mistakes. Thanks for your feedback.
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Ask HN: What suggestion you can give me to improve my article?
1 points by Immortal333 6y ago|2 comments
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by Immortal333 6y ago
At glance, It looks like ongoing research of Multi-Task and Meta-Learning will be discussed. Some new tricks on the architecture of NN, Few new methods to train, and some theoretical setting of the area. I will be looking forward to seeing
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by Immortal333 6y ago
Machine Learning Engineer Location: Ahmedabad, India Remote: Yes Willing to relocate: Yes (Note: need work visa) Technologies.Skills: Machine Learning, Deep Learning, Computer Vision, Python, Pytorch Résumé/CV: https://githu