tbrianjones

1033edge.com
11mail.com
123.com
123box.net
123india.com
123mail.cl
123qwe.co.uk
126.com
150ml.com
15meg4free.com

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)

Vartkat

#!/bin/bash

# This script intend to mimic TimeMachine exclude list.
# As the exclude list can evolve between backups it has to be rebuilt before every backup
# Apple uses 5 types of excludes, four from the /System/Library/CoreServices/backupd.bundle/Contents/Resources/StdExclusions.plist file
# and files from applications where metadata says to not backup, these can be found usinf
# sudo mdfind "com_apple_backup_excludeItem = 'com.apple.backupd'"

SYSLOG=/usr/bin/syslog;
TEMPFILE=$1;

Felflare

from transformers import XLNetTokenizer, XLNetForQuestionAnsweringSimple
import torch
tokenizer = XLNetTokenizer.from_pretrained('xlnet-base-cased')
model = XLNetForQuestionAnsweringSimple.from_pretrained('xlnet-base-cased')
input_ids = torch.tensor(tokenizer.encode("Hello, my dog is cute", add_special_tokens=True)).unsqueeze(0)  # Batch size 1
print(f'Encoded sequence ids -- {input_ids.tolist()[0]}')
# Encoded sequence ids -- [17, 11368, 19, 94, 2288, 27, 10920, 4, 3]

start_positions = torch.tensor([1])
end_positions = torch.tensor([3])

MichaelCurrin

Get GitHub Files

Get the metadata and content of all files in a given GitHub repo using the GraphQL API

You might want to get a tree summary of files in a repo without downloading the repo, or maybe you want to lookup the contents of a file again without download the whole repo.

The approach here is to query data from GitHub using the Github V4 GraphQL API.

About the query

koenvo

import time

# Make sure you have duckdb==0.7.0. Earlier versions might fail with GIL problems ( https://twitter.com/mr_le_fox/status/1620535141675433986 )
import duckdb

import s3fs

from fsspec.implementations.cached import SimpleCacheFileSystem

# Create the s3 file system. This one does not have caching