Monik Pamecha monikkinom
monikkinom
/ rnn-lstm.py
Last active
September 3, 2019 04:44
Tensorflow RNN-LSTM implementation to count number of set bits in a binary string
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| #Source code with the blog post at http://monik.in/a-noobs-guide-to-implementing-rnn-lstm-using-tensorflow/ | |
| import numpy as np | |
| import random | |
| from random import shuffle | |
| import tensorflow as tf | |
| # from tensorflow.models.rnn import rnn_cell | |
| # from tensorflow.models.rnn import rnn | |
| NUM_EXAMPLES = 10000 |
monikkinom
/ eval.py
Created
August 31, 2017 01:00
This gist will help to quickly annotate the text for the assignment by providing a CLI and writing results to the required format!
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| #For Assignment 1 INFO 159/259 (NLP) Fall 2017 | |
| import csv | |
| fn = 'your_name_trump_tweets.txt' | |
| inp = list(csv.reader(open(fn, 'rb'), delimiter='\t')) | |
| out = csv.writer(open('output.txt','w'), delimiter='\t') | |
| sent = {'p':'positive','n':'negative','m':'mixed','u':'unknown'} | |
| out.writerow(['tweet ID', 'target', 'sentiment toward target', 'rationale']) | |
| for tweet in inp: |