haixuanTao

nodes:
  - id: webcam
    custom:
      source: https://huggingface.co/datasets/dora-rs/dora-idefics2/raw/main/operators/opencv_stream.py
      outputs:
        - image
  - id: idefics2
    operator:
      python:  https://huggingface.co/datasets/dora-rs/dora-idefics2/raw/main/operators/idefics2_op.py
      inputs:

bashbunni

# I'll be doing another one for Linux, but this one will give you 
# a pop up notification and sound alert (using the built-in sounds for macOS)

# Requires https://github.com/caarlos0/timer to be installed

# Mac setup for pomo
alias work="timer 60m && terminal-notifier -message 'Pomodoro'\
        -title 'Work Timer is up! Take a Break 😊'\
        -appIcon '~/Pictures/pumpkin.png'\
        -sound Crystal"

aaabramov

sudo yum update

# Installing ZSH
sudo yum -y install zsh

# Check ZSH has been installed
zsh --version

# Install "util-linux-user" because "chsh" is not available by default
# See https://superuser.com/a/1389273/599050

joshbuchea

Semantic Commit Messages

See how a minor change to your commit message style can make you a better programmer.

Format: <type>(<scope>): <subject>

<scope> is optional

Example

anthonyray

1. Connect to your EC2 instance
2. Install zsh : sudo apt-get update && sudo apt-get install zsh
3. Edit your passwd configuration file to tell which shell to use for user ubuntu : sudo vim /etc/passwd
4. Look for ubuntu user, and replace bin/bash by bin/zsh
5. Install OhMyZsh : sh -c "$(wget https://raw.githubusercontent.com/robbyrussell/oh-my-zsh/master/tools/install.sh -O -)"
6. Disconnect from your instance and reconnect it.

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

tartakynov

import numpy as np
import pylab as pl
from numpy import fft
    
def fourierExtrapolation(x, n_predict):
    n = x.size
    n_harm = 10                     # number of harmonics in model
    t = np.arange(0, n)
    p = np.polyfit(t, x, 1)         # find linear trend in x
    x_notrend = x - p[0] * t        # detrended x

octocat

# Compiled source #
###################
*.com
*.class
*.dll
*.exe
*.o
*.so

# Packages #