Manash Kumar Mandal @_manash_

nullptr Dhaka, Bangladesh Joined September 2017

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52
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Michael Keating @mbkeating

2 years ago

It’s time to tell you about my new startup. My mission in life is universal electric mobility. In my last startup, @ScootNetworks, we created scooter sharing. With Tempo, we are using the technologies of sharing to accelerate ownership.

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Andrej Karpathy @karpathy

2 years ago

@sinclanich np.array people keep reaching for much fancier things way too fast these days

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Manash Kumar Mandal @_manash_

3 years ago

#spionagemuseum

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Manash Kumar Mandal @_manash_

3 years ago

#spionagemuseum

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Michael Keating @mbkeating

3 years ago

How many electric bikes does it take to eliminate a gigaton of CO2? As many as are on the road today.

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Gergely Orosz @GergelyOrosz

3 years ago

"Q: I’ve joined a Big Tech. But instead of learning about great engineering practices, I'm shocked at the engineering quality. What can I do?" Two pieces of advice (a thread): 1. Expectations vs reality at Big Tech rarely match. Prepare for this. 1/3

Gergely Orosz @GergelyOrosz

3 years ago

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Manash Kumar Mandal @_manash_

4 years ago

One of the best books on Relational Database (MySQL) I've read in a while. highperfmysql.com

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Alexis Conneau @alex_conneau

4 years ago

New work: "Unsupervised speech recognition" TL;DR: it's possible for a neural network to transcribe speech into text with very strong performance, without being given any labeled data. Paper: ai.facebook.com/research/publi… Blog: ai.facebook.com/blog/wav2vec-u… Code: github.com/pytorch/fairse…

Michael Auli @MichaelAuli

4 years ago

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Cain Maddox @ctrlshifti

5 years ago

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Daily Python Tip 🐍🐧 @python_tip

5 years ago

Merging Dictionaries - new in Python 3.9! a | b will merge `b` dictionary into `a` dictionary, if there are conflicts, the rightmost-value will be kept a |= b will merge `b` into `a` and return the result in `a` (it is also called updating) Example: 👇

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Manash Kumar Mandal @_manash_

5 years ago

Overtyping on Python. On point 🤭

Aaron Meurer @asmeurer

5 years ago

Overtyping on Python. On point 🤭

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Jon Calhoun @joncalhoun

5 years ago

This article is spot on. Errors in #golang feel painful b/c devs want to ignore errors. Go forces devs to acknowledge that something may go wrong and to code for it. Annoying at first, but I guarantee my Go code has better error handling as a result. rauljordan.com/2020/07/06/why…

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Viral B. Shah @Viral_B_Shah

5 years ago

The @PyTorch team has built a solid set of GPU kernels and we have been able to pull them into Flux.jl and #julialang! A hassle free install through BinaryBuilder! fluxml.ai/2020/06/29/acc… @soumithchintala

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Aurélien Geron @aureliengeron

5 years ago

This is 100% #JuliaLang code. It trains a dense neural network using the #Keras Python library. If you replace the first 3 lines with "import tensorflow as tf; from tensorflow import keras", you can run the exact same code in Python. Talk about excellent interoperability! 🤝

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Aurélien Geron @aureliengeron

5 years ago

I 💕 #JuliaLang ! It looks & feels like Python, with the speed of C++, the parallelism of Go, batteries included (especially for #DataScience), metaprog like Lisp, great libraries and a welcoming community. I wrote a Julia tutorial for Python programmers: come & join the party!

Viral B. Shah @Viral_B_Shah

5 years ago

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Manash Kumar Mandal @_manash_

5 years ago

Really interesting tool to draw database diagrams using a database agnostic DSL called DBML (database markup language) dbdiagram.io #dbdiagram #dev #database

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Sébastien Chopin @Atinux

5 years ago

Coming to @nuxt/content v2.0 after a pair programming session with @benjamincanac 👀 github.com/nuxt/content

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Manash Kumar Mandal @_manash_

5 years ago

If you're having a micro-freezing/stuttering issue on Pop!_OS 20.04 LTS then "System Load Indicator" applet is to blame. Quitting it will instantly solve your problem. @system76

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Justin Johnson @jcjohnss

5 years ago

Our new paper (w/@kdexd) argues that "language is all you need" for good visual features: we train CNN+Transformer *from scratch* on ~100k images+captions from COCO, transfer the CNN to 6 downstream vision tasks, and match/exceed ImageNet features despite using 10x fewer images!