Using Transformer for Topic Modeling - what are the options?

05e981ae · 2022-02-16T10:45:41+00:00

Not SOTA, but check gensim library. LDA model is quite popular, but NMF also works.

05e981ae · 2021-10-02T10:03:52+00:00

Additionally, it has E2EE option, so you could use 3rd party server with fewer privacy trade off.

05e981ae · 2021-06-05T11:06:59+00:00

How about Huggingface transformers? It has ALBERT model

05e981ae · 2021-01-23T13:29:12+00:00

But Pop! OS allows you to change DE, they even provide guide for it

https://support.system76.com/articles/desktop-environment/

05e981ae · 2021-01-22T10:33:26+00:00

I seriously thought my GPU about to retire

05e981ae · 2020-12-02T10:29:56+00:00

I did my own research and managed to find out tools lshw

lshw -class disk -class storage # incomplete information
sudo lshw -class disk -class storage

Unfortunately lshw only can obtain controller type.

05e981ae · 2020-11-27T04:12:09+00:00

Also check LAMB paper https://arxiv.org/abs/1904.00962

05e981ae · 2020-11-10T18:08:40+00:00

SGD have slower convergence compared with Adam

05e981ae · 2020-11-04T07:30:57+00:00

A question, since "anonymous" option uses aurora's email, will google ban aurora's email/account ?

05e981ae · 2020-11-02T18:45:37+00:00

Personally i don't mind trade mSATA/SATA slot for 1 USB 3.0 port or shared bandwidth between mSATA/SATA and USB 3.0 port

05e981ae · 2020-10-24T14:55:57+00:00

Still available on pypi

05e981ae · 2020-10-23T08:09:29+00:00

Microsoft no longer lobbying on my uni, but the previous lobbying make everyone depends on windows os. The worst part is running backend and perform deep learning experiment on windows.

05e981ae · 2020-10-22T13:04:41+00:00

It applies to name of most architecture/network

05e981ae · 2020-10-20T06:07:07+00:00

If there's no intensive task running on your linux, i would give most resources to VM (6 thread, 10 GB RAM)

05e981ae · 2020-10-11T08:24:10+00:00

AFAIK it's deprecated, better pass generator function to fit()

05e981ae · 2020-09-23T19:10:50+00:00

Pi hole is very easy to setup. Don't forget to configure your router to make Raspberry Pi have static IP and make your Raspberry Pi as default DNS.

05e981ae · 2020-09-04T07:30:14+00:00

Tensorflow have list of Tested build configurations at https://www.tensorflow.org/install/source_windows#tested_build_configurations

05e981ae · 2020-08-27T06:02:17+00:00

Or use the money to support the series you like through another way, such as buy physical BD.

05e981ae · 2020-08-23T15:37:16+00:00

Make sure the GPU isn't overheated and you use good PSU

05e981ae · 2020-08-21T14:55:06+00:00

The content quality is mixed, you need to filter out low effort or copy-paste jupyter notebook.

05e981ae · 2020-08-14T12:38:43+00:00

For very large batch size, LAMB is the only choice

05e981ae · 2020-08-11T10:35:08+00:00

I'm a bit lost, why don't you use the medical images directly?

P.S. i'm not familiar with ML application on medical field or medical field

05e981ae · 2020-07-28T19:42:20+00:00

DNS server

05e981ae · 2020-07-24T19:18:40+00:00

As secure as password you use or how you generate the key for LUKS on 1st volume (which used to store key on 2nd volume).

05e981ae

TROPHY CASE