skip-thoughts | Sent2Vec encoder and training code | Machine Learning library

by ryankiros Python Version: Current License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | skip-thoughts Summary

skip-thoughts is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, Keras, Numpy applications. skip-thoughts has no bugs, it has no vulnerabilities and it has medium support. However skip-thoughts build file is not available. You can download it from GitHub.

This code is written in python. To use it you will need:.

Support

Quality

Security

License

Reuse

Support

skip-thoughts has a medium active ecosystem.

It has 2050 star(s) with 555 fork(s). There are 108 watchers for this library.

It had no major release in the last 6 months.

There are 66 open issues and 18 have been closed. On average issues are closed in 23 days. There are 14 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of skip-thoughts is current.

Quality

skip-thoughts has 0 bugs and 0 code smells.

Security

skip-thoughts has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

skip-thoughts code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

skip-thoughts does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

skip-thoughts releases are not available. You will need to build from source code and install.

skip-thoughts has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

skip-thoughts saves you 1077 person hours of effort in developing the same functionality from scratch.

It has 2440 lines of code, 150 functions and 26 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed skip-thoughts and discovered the below as its top functions. This is intended to give you an instant insight into skip-thoughts implemented functionality, and help decide if they suit your requirements.

Build the model
Get a layer by name
Layer layer
Generate a p name
Returns the next batch
Reset the index
Process text
Tokenize a sentence
Generate a weight weighted weight matrix
Generate orthoonal weight matrix
Build the encoder layer
Build word embedding layer
Build a dictionary of tokens
Flayer layer

Get all kandi verified functions for this library.

skip-thoughts Key Features

No Key Features are available at this moment for skip-thoughts.

skip-thoughts Examples and Code Snippets

broader-metaphor,Reproduction,skip-thought

HTML

Lines of Code : 11

License : Permissive (MIT)

Copy

git submodule init && git submodule update

cd models
mkdir skipthoughts && cd skipthoughts
wget http://www.cs.toronto.edu/~rkiros/models/dictionary.txt
wget http://www.cs.toronto.edu/~rkiros/models/utable.npy
wget http://www.cs.toron

HyperText: Models for learning Text Representations,Distributed Skip Thoughts,Training

Python

Lines of Code : 8

License : Permissive (Apache-2.0)

Copy

#!/bin/bash

bazel build -c opt //skip_thoughts_dist:train

bazel-bin/skip_thoughts_dist/train \
  --input_file_pattern  \
  --nosync_replicas \
  --train_dir

HyperText: Models for learning Text Representations,Distributed Skip Thoughts,Validation

Python

Lines of Code : 8

License : Permissive (Apache-2.0)

Copy

#!/bin/bash

bazel build -c opt //skip_thoughts_dist:track_perplexity

CUDA_VISIBLE_DEVICES='' bazel-bin/skip_thoughts_dist/track_perplexity \
  --input_file_pattern  \
  --checkpoint_dir  \
  --eval_dir

Community Discussions

Trending Discussions on skip-thoughts

Extracting paper URLs from leaderboard HTML based on regular expression

QUESTION

Extracting paper URLs from leaderboard HTML based on regular expression

Asked 2020-Sep-16 at 02:52

Problem

I am now moving into a natural language processing projects. Before I get my hands dirty, I plan to read other people's works on dataset, where they are organized as a leaderboard (see "Three-way Classification" section).

However, in order to download these papers, I need to manually click on each URL (there are about 50 of them), which is time-consuming. Therefore, I am trying to extract these URLs from HTML, which looks like following:

...

ANSWER

Answered 2020-Sep-16 at 02:52

A regular expression along with findall() method can be used for finding all the intersting links form the given html content.

BeautifulSoup offers an easy way to read table from html.

The above goal of reading pdf links form a table inside a given html content can be achieved by using regex along with BeautifulSoup.

Working example using regex and along with BeatifulSoup

Source https://stackoverflow.com/questions/63911855

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install skip-thoughts

You will first need to download the model files and word embeddings. The embedding files (utable and btable) are quite large (>2GB) so make sure there is enough space available. The encoder vocabulary can be found in dictionary.txt. NOTE to Toronto users: You should be able to run the code as is from any machine, without having to download. Once these are downloaded, open skipthoughts.py and set the paths to the above files (path_to_models and path_to_tables). Now you are ready to go. Make sure to set the THEANO_FLAGS device if you want to use CPU or GPU.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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