agramfort

"""
This module implements the Lowess function for nonparametric regression.

Functions:
lowess Fit a smooth nonparametric regression curve to a scatterplot.

For more information, see

William S. Cleveland: "Robust locally weighted regression and smoothing
scatterplots", Journal of the American Statistical Association, December 1979,

andreyvit

tmux cheat sheet

(C-x means ctrl+x, M-x means alt+x)

Prefix key

The default prefix is C-b. If you (or your muscle memory) prefer C-a, you need to add this to ~/.tmux.conf:

remap prefix to Control + a

MohamedAlaa

tmux shortcuts & cheatsheet

start new:

tmux

start new with session name:

tmux new -s myname

omz

# coding: utf-8
from objc_util import * 
import threading

NSBundle = ObjCClass('NSBundle')
LocalAuthentication = NSBundle.bundleWithPath_('/System/Library/Frameworks/LocalAuthentication.framework')
LocalAuthentication.load()
LAContext = ObjCClass('LAContext')

# authenticate() will raise one of these exceptions when authentication

gdurastanti

#!/bin/sh
# Reset Parallels Desktop's trial and generate a casual email address to register a new user
rm /private/var/root/Library/Preferences/com.parallels.desktop.plist /Library/Preferences/Parallels/licenses.xml
jot -w pdu%d@gmail.com -r 1

chenhunghan

reMarkable is a paper tablet by https://remarkable.com/.

The reMarkable tablet is the best e-paper in the market. However, it does not have built-in support for CJK (Chiniese, Korean and Japanese) users.

Luckily, this could be resolved by installing CJK fonts on the tablet.

1. Go to Preference > Storage > Enable USB web interface (Beta).
2. Connect reMarkable with your PC via a microUSB cable.
3. SSH to the device as user "root" using the password find in Preference > About. e.g. ssh root@10.11.99.1
4. Download "NotoSansCJK[you language]-Regular.otf" from *note, there is limited space on the device, so do not sue "Super OpenType/CFF Collection (Super OTC)", an language-specific OTC is ok.

gatopeich

pkg upgrade
# Install runtime deps
pkg install python libzmq libcrypt

# Add build deps
pkg install python-dev libzmq-dev libcrypt-dev clang  
pip3 install -U pip
pip3 install pyzmq --install-option="--zmq=/usr/lib"
pip3 install jupyter

HarshTrivedi

import torch
from torch import LongTensor
from torch.nn import Embedding, LSTM
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence

## We want to run LSTM on a batch of 3 character sequences ['long_str', 'tiny', 'medium']
#
#     Step 1: Construct Vocabulary
#     Step 2: Load indexed data (list of instances, where each instance is list of character indices)

akurniawan

import itertools
import torch
from torchtext.experimental.datasets.translation import DATASETS, TranslationDataset
from torchtext.vocab import build_vocab_from_iterator
from torchtext.experimental.functional import (
    vocab_func,
    totensor,
    sequential_transforms,
)
from torchtext.data.utils import get_tokenizer

peterhurford

brew install pandoc
brew tap homebrew/cask
brew install --cask basictex
eval "$(/usr/libexec/path_helper)"
# Update $PATH to include `/usr/local/texlive/2022basic/bin/universal-darwin`
sudo tlmgr update --self
sudo tlmgr install texliveonfly
sudo tlmgr install xelatex
sudo tlmgr install adjustbox
sudo tlmgr install tcolorbox