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`alias howdoi="man" `

Been quite happy with my Razer blade 15, it's not a ridiculously thick laptop, but thanks to extra tall rubber feet, beefy fans and a couple other tricks it's able to run a gtx 1060 and a hexacore cpu just fine under load.

Note: this isn't just a Bose thing. Bluetooth has separate profiles built in for phone calls/two way audio and one way audio. Because of bandwidth limitations, quality is essentially cut in half while using two way audio. While self-voice can add back some external noise, the bulk of the audio quality loss is built into the Bluetooth spec.

Check out the "better bibtex" extension to zotero for exporting to bib files, I find it helps with unicode/utf-8 characters and might fix that alphabetical problem.

I use this all the time, it's a great way to collect papers about different topics and easily add them to writeups. The option to keep a bibtex bibliography updated in real time is especially helpful. All it takes to add a new source is a single click on Firefox and then just cite in latex/docs/word.

I feel the same way about Fastai v1. Hard to use bits and pieces of it without rewriting everything. Apparently they heard this and addressed it with fastai V2 though so you can just pull in the critical bits you need.

As long as there are market regulations, and as long as people have some kind of morals the market will stay a long ways from being perfectly efficient. Any profit-making trade that you can't make because of legal or ethical reasons shows a crack in the efficient market. That may not be a bad thing, but it's so important that we recognize these imperfections and keep them patched so that they're not exploited.

Came here to post the same thing. Nbdev helps fill in the strengths that IDEs are traditionally good at. Even if you don't use the full nbdev library and templates, the work flow makes sense. Write code in Jupyter, export to a python library, and you can use it everywhere else after that.

One idea for a pain point not mentioned: better variable persistence. If I declare a variable, then delete the cell I declared it in, the variable persists. I've had this cause issues because if I use the deleted variable by accident, it will work fine right up until a kernel restart.

I make a "scratch pad" section of my notebook and work on ideas there. Then once I've pieced together a function line by line and tested it a bit I move it up to where it should be in the chronological order of the notebook. Kind of like your two notebook system but makes copying easier in Jupyter.

Used it for DJ visuals and it's quite nice. Recently switched to PureData though as that can run on non-windows too.

Jumped from Chrome about six months ago and overall quite impressed with Firefox. My only complaint is that I can't seem to shake my preference for the rounded tabs and UI of Chrome...

Another easy solution I didn't see mentioned is to create swap space on Linux. This obviously isn't the fastest solution, but setting up 128GB of swap space let's me mindlessly load most datasets into memory without a single code change.

I'm used to using Vim with a bunch of plug-ins as my IDE. VSCode allows me to get an almost identical setup plus some extra features set up in a fraction of the time. This comes with too big tradeoffs though: customizability and speed. I've found VSCode can get laggy, particularly on older machines or with many plug-ins loaded. There are also all kinds of UI things I find myself unable to configure (status bars etc.).

Check out https://github.com/eugenehp/trx for Opus streaming inspiration, I've played around with their code and found it easy to work with. Opus would be great with ROC because in case of buffer over/under runs the codec provides features to mask dropouts based on previous content. This is critical when using Wi-Fi.

I just found this too! Great thread for the new Kaggle Freesound competition.

Ooh, nice TTS, sounds good!

Had an idea to do this a couple months ago, but haven't got around to implementing it yet. I'm curious: did you consider using standard image processing techniques with spectrograms as an alternative to decision trees? I know thats how Izotope does their Neutron instrument detection, but I'm not sure how it would compare performance wise. Also, have you tried classifying percussive sounds that aren't actual drums? I'd love to see how it categorizes various stuff.

This post made me think of George Churches new startup aimed at making research studies like this opt-in and pay money to participants, while making it easier for researchers to find large datasets for their research. While their bockchain-based platform seems overhyped, if anyone is in a position to accomplish this, it's George Church, so maybe they stand a chance at changing the way things are done in that industry.

https://www.nebulagenomics.io

I really enjoyed reading this piece. The author poses several rhetorical questions that I think could use evidence to support their assumed conclusions, but overall this piece seems very well informed and sheds light on a class of people that I am very familiar with but had never divided out in my head.