gruber

The regex patterns in this gist are intended to match any URLs,
including "mailto:foo@example.com", "x-whatever://foo", etc. For a
pattern that attempts only to match web URLs (http, https), see:
https://gist.github.com/gruber/8891611


# Single-line version of pattern:

(?i)\b((?:[a-z][\w-]+:(?:/{1,3}|[a-z0-9%])|www\d{0,3}[.]|[a-z0-9.\-]+[.][a-z]{2,4}/)(?:[^\s()<>]+|\(([^\s()<>]+|(\([^\s()<>]+\)))*\))+(?:\(([^\s()<>]+|(\([^\s()<>]+\)))*\)|[^\s`!()\[\]{};:'".,<>?«»“”‘’]))

tpoisot

import networkx as nx
import numpy as np
import itertools

## We define each S* motif as a directed graph in networkx
motifs = {
    'S1': nx.DiGraph([(1,2),(2,3)]),
    'S2': nx.DiGraph([(1,2),(1,3),(2,3)]),
    'S3': nx.DiGraph([(1,2),(2,3),(3,1)]),
    'S4': nx.DiGraph([(1,2),(3,2)]),

myusuf3

To remove a submodule you need to:

• Delete the relevant section from the .gitmodules file.
• Stage the .gitmodules changes git add .gitmodules
• Delete the relevant section from .git/config.
• Run git rm --cached path_to_submodule (no trailing slash).
• Run rm -rf .git/modules/path_to_submodule (no trailing slash).
• Commit git commit -m "Removed submodule "
• Delete the now untracked submodule files rm -rf path_to_submodule

melvincabatuan

yum -y install texlive texlive-latex texlive-xetex
yum -y install texlive-collection-latex
yum -y install texlive-collection-latexrecommended
yum -y install texlive-xetex-def
yum -y install texlive-collection-xetex
Only if needed:
yum -y install texlive-collection-latexextra

basaundi

#!/usr/bin/env python
# Ander Martinez Sanchez

from __future__ import division, print_function
from math import exp, log
from collections import Counter


def ngram_count(words, n):
    if n <= len(words):

heiswayi

First Method

Deleting the .git folder may cause problems in our git repository. If we want to delete all of our commits history, but keep the code in its current state, try this:

# Check out to a temporary branch:
git checkout --orphan TEMP_BRANCH

# Add all the files:
git add -A

demo_gp.ipynb

MikulasZelinka

"""
sort-of minimal end-to-end example of handling input sequences (sentences) of variable length in pytorch
the sequences are considered to be sentences of words, meaning we then want to use embeddings and an RNN
using pytorch stuff for basically everything in the pipeline of:
dataset -> data_loader -> padding -> embedding -> packing -> lstm -> unpacking (~padding)
based mostly on: https://github.com/HarshTrivedi/packing-unpacking-pytorch-minimal-tutorial
pytorch version 1.4.0
gist url: https://gist.github.com/MikulasZelinka/9fce4ed47ae74fca454e88a39f8d911a
"""

yanqd0

import requests
from tqdm import tqdm


def download(url: str, fname: str, chunk_size=1024):
    resp = requests.get(url, stream=True)
    total = int(resp.headers.get('content-length', 0))
    with open(fname, 'wb') as file, tqdm(
        desc=fname,
        total=total,

cedrickchee

4 Steps in Running LLaMA-7B on a M1 MacBook

The large language models usability

The problem with large language models is that you can’t run these locally on your laptop. Thanks to Georgi Gerganov and his llama.cpp project, it is now possible to run Meta’s LLaMA on a single computer without a dedicated GPU.

Running LLaMA

There are multiple steps involved in running LLaMA locally on a M1 Mac after downloading the model weights.