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Manuel Stoeckel m-stoeckel

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@andrebrait
andrebrait / keychron_linux.md
Last active May 19, 2024 16:00
Keychron keyboards on Linux + Bluetooth fixes

Here is the best setup (I think so :D) for K-series Keychron keyboards on Linux.

Note: many newer Keychron keyboards use QMK as firmware and most tips here do not apply to them. Maybe the ones related to Bluetooth can be useful, but everything related to Apple's keyboard module (hid_apple) on Linux, won't work. As far as I know, all QMK-based boards use the hid_generic module instead. Examples of QMK-based boards are: Q, Q-Pro, V, K-Pro, etc.

Most of these commands have been tested on Ubuntu 20.04 and should also work on most Debian-based distributions. If a command happens not to work for you, take a look in the comment section.

Make Fn + F-keys work (NOT FOR QMK-BASED BOARDS)

Older Keychron keyboards (those not based on QMK) use the hid_apple driver on Linux, even in the Windows/Android mode, both in Bluetooth and Wired modes.

@ssledz
ssledz / asus-bt400-linux-install.md
Last active May 18, 2024 05:41
Linux Installation guide for Asus USB-BT400

Download driver

curl 'https://dlcdnets.asus.com/pub/ASUS/wireless/USB-BT400/DR_USB_BT400_1201710_Windows.zip' \
  -o bt400-driver.zip

Driver & tools for bt400 can be found here

Find out what is a filename for your driver

Plug device and do

@JohnGiorgi
JohnGiorgi / biaffine_classifier.py
Last active November 2, 2023 04:58
PyTorch implementation of the biaffine attention operator from "End-to-end neural relation extraction using deep biaffine attention" (https://arxiv.org/abs/1812.11275) which can be used as a classifier for binary relation classification. If you spot an error or have an improvement, let me know!
import torch
class BiaffineAttention(torch.nn.Module):
"""Implements a biaffine attention operator for binary relation classification.
PyTorch implementation of the biaffine attention operator from "End-to-end neural relation
extraction using deep biaffine attention" (https://arxiv.org/abs/1812.11275) which can be used
as a classifier for binary relation classification.