There are a lot of Topic Models. 18/02/23 # of TM is 24
- ATM(author topic model)
| import cv2 | |
| image = cv2.imread('test.jpg') | |
| overlay = image.copy() | |
| x, y, w, h = 10, 10, 10, 10 # Rectangle parameters | |
| cv2.rectangle(overlay, (x, y), (x+w, y+h), (0, 200, 0), -1) # A filled rectangle | |
| alpha = 0.4 # Transparency factor. |
| Mute these words in your settings here: https://twitter.com/settings/muted_keywords | |
| ActivityTweet | |
| generic_activity_highlights | |
| generic_activity_momentsbreaking | |
| RankedOrganicTweet | |
| suggest_activity | |
| suggest_activity_feed | |
| suggest_activity_highlights | |
| suggest_activity_tweet |
There are a lot of Topic Models. 18/02/23 # of TM is 24
| from rasa_nlu.featurizers import Featurizer | |
| import tensorflow_hub as hub | |
| import tensorflow as tf | |
| class UniversalSentenceEncoderFeaturizer(Featurizer): | |
| """Appends a universal sentence encoding to the message's text_features.""" | |
| # URL of the TensorFlow Hub Module |
| {0: 'tench, Tinca tinca', | |
| 1: 'goldfish, Carassius auratus', | |
| 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias', | |
| 3: 'tiger shark, Galeocerdo cuvieri', | |
| 4: 'hammerhead, hammerhead shark', | |
| 5: 'electric ray, crampfish, numbfish, torpedo', | |
| 6: 'stingray', | |
| 7: 'cock', | |
| 8: 'hen', | |
| 9: 'ostrich, Struthio camelus', |
| import numpy as np | |
| import matplotlib.pyplot as plt | |
| from scipy.spatial import Voronoi | |
| def voronoi_finite_polygons_2d(vor, radius=None): | |
| """ | |
| Reconstruct infinite voronoi regions in a 2D diagram to finite | |
| regions. | |
| Parameters |
| """ Python implementation of the OASIS algorithm. | |
| Graham Taylor | |
| Based on Matlab implementation of: | |
| Chechik, Gal, et al. | |
| "Large scale online learning of image similarity through ranking." | |
| The Journal of Machine Learning Research 11 (2010): 1109-1135. | |
| """ | |
| from __future__ import division |
| #!/usr/bin/env bash | |
| mkdir vim | |
| curl https://s3.amazonaws.com/heroku-vim/vim-7.3.tar.gz --location --silent | tar xz -C vim | |
| export PATH=$PATH:/app/vim/bin |