-
Kinesis Freestyle (Terrible key switches. Mushy and un-lovable)
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Kinesis Freestyle Edge (Traditional layout with too many keys, mech switches, proably too big to be tented easily/properly)
-
Matias Ergo Pro (Looks pretty great. Have not tried.)
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ErgoDox Kit (Currently, my everyday keyboard. Can buy pre-assembled on eBay.)
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ErgoDox EZ (Prolly the best option for most people.)
Ming Kai Chen mingkaic
stefansundin
/ openssh-7.3.sh
Last active
September 13, 2022 21:03
Install OpenSSH 7.3 in Ubuntu 16.04
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| # WARNING: Use this at your own risk. It will probably break your other packages and cause other havoc. | |
| # These days you should just upgrade to Ubuntu 18.04. | |
| $ ssh -V | |
| OpenSSH_7.2p2 Ubuntu-4ubuntu2.1, OpenSSL 1.0.2g 1 Mar 2016 | |
| wget https://launchpadlibrarian.net/277739251/openssh-client_7.3p1-1_amd64.deb | |
| wget https://launchpadlibrarian.net/298453050/libgssapi-krb5-2_1.14.3+dfsg-2ubuntu1_amd64.deb | |
| wget https://launchpadlibrarian.net/298453058/libkrb5-3_1.14.3+dfsg-2ubuntu1_amd64.deb | |
| wget https://launchpadlibrarian.net/298453060/libkrb5support0_1.14.3+dfsg-2ubuntu1_amd64.deb |
itod
/ split_keyboards.md
Last active
March 11, 2026 10:58
Every "split" mechanical keyboard currently being sold that I know of
This is the Keras model of VGG-Face.
It has been obtained through the following method:
- vgg-face-keras:directly convert the vgg-face matconvnet model to keras model
- vgg-face-keras-fc:first convert vgg-face caffe model to mxnet model,and then convert it to keras model
Details about the network architecture can be found in the following paper:
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| import gym | |
| import random | |
| import numpy as np | |
| import tensorflow as tf | |
| class DQN: | |
| REPLAY_MEMORY_SIZE = 10000 | |
| RANDOM_ACTION_PROB = 0.5 | |
| RANDOM_ACTION_DECAY = 0.99 |
bastman
/ docker-cleanup-resources.md
Created
March 31, 2016 05:55
docker cleanup guide: containers, images, volumes, networks
Once in a while, you may need to cleanup resources (containers, volumes, images, networks) ...
// see: https://github.com/chadoe/docker-cleanup-volumes
$ docker volume rm $(docker volume ls -qf dangling=true)
$ docker volume ls -qf dangling=true | xargs -r docker volume rm