XSum | Aware Convolutional Neural Networks for Extreme | Machine Learning library

by EdinburghNLP Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | XSum Summary

XSum is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. XSum has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However XSum build file is not available. You can download it from GitHub.

Instructions to download and preprocess the extreme summarization dataset are here.

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Quality

Security

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Support

XSum has a low active ecosystem.

It has 283 star(s) with 64 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 16 open issues and 11 have been closed. On average issues are closed in 48 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of XSum is current.

Quality

XSum has 0 bugs and 0 code smells.

Security

XSum has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

XSum code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

XSum is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

XSum releases are not available. You will need to build from source code and install.

XSum 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.

XSum saves you 4020 person hours of effort in developing the same functionality from scratch.

It has 8549 lines of code, 786 functions and 113 files.

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

Top functions reviewed by kandi - BETA

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

Load a dataset
Call CUDA on all models
R Generate a Word model
Generate a batched iteration of a single iteration
Train the RNN model
Compute the score of a batched dataset
Compute token embedding
Split the encoder out of the output
Transpose x into x
Embed tokens
Create a data loader for training data
Write the index_file to the index_file
Binarize a file
Returns a data loader for the given split
Convert a padding direction
Generate a pre - trained model
Load a LanguageDataset from raw text files
Train RNN model
Load a language dataset
Forward computation
Generate a single batched HIT matrix
Performs a single training step
Load model state from file
Compute the CUDA of all models
Perform validation
Save the state of the model
Loads an ensemble
Get argument parser
Make a tensor
Compute the score for a batched dataset

Get all kandi verified functions for this library.

XSum Key Features

No Key Features are available at this moment for XSum.

XSum Examples and Code Snippets

No Code Snippets are available at this moment for XSum.

Community Discussions

Trending Discussions on XSum

Django-Celery No Periodic Outputs

python celery monitoring events not being triggered

python celery invalid value for -A unable to load application

Error running run_seq2seq.py Transformers training script

Implementing Transfer Learning using Pegasus for Text Summarization generating junk characters

MLE of covariate parameter

Multiple Traveling Salemans Problem with MIP

Numba-compatible implementation of np.tile?

Why can't I find the index of the maximum value in my spectrogram array?

Simpson's Rule using for loops (numerical integration)

QUESTION

Django-Celery No Periodic Outputs

Asked 2021-Jun-04 at 09:08

I am trying to use Celery to create periodic tasks in my application. However, I cannot see the outputs of the periodic task that I wrote.

The backend is on a Windows-based redis-server. The server is up and running.

project/celery.py

...

ANSWER

Answered 2021-Jun-04 at 09:08

You need to start celery beat, because that him that will read the database and execute your task.

install : https://github.com/celery/django-celery-beat

so in CLI, you need to execute :

Source https://stackoverflow.com/questions/67834249

QUESTION

python celery monitoring events not being triggered

Asked 2021-Apr-16 at 12:57

I have a following project directory:

...

ANSWER

Answered 2021-Apr-16 at 08:14

By comparing your code to flower's code:

Source https://stackoverflow.com/questions/67120611

QUESTION

python celery invalid value for -A unable to load application

Asked 2021-Apr-15 at 22:15

I have a following project directory:

...

ANSWER

Answered 2021-Apr-15 at 22:15

There are two approaches

import your app to azima/__init__.py

Source https://stackoverflow.com/questions/67108556

QUESTION

Error running run_seq2seq.py Transformers training script

Asked 2021-Mar-13 at 23:54

I am trying to train a seq2seq model. I ran the example code in Colab:

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ANSWER

Answered 2021-Mar-13 at 23:54

The problem is that you clone the master branch of the repository and try to run the run_seq2seq.py script with a transformers version (4.3.3) that is behind that master branch.

run_seq2seq.py was updated to import is_offline_mode on the 6th of march with this merge.

All you need to do is to clone the branch that was used for your used transformers version:

Source https://stackoverflow.com/questions/66579324

QUESTION

Implementing Transfer Learning using Pegasus for Text Summarization generating junk characters

Asked 2020-Dec-15 at 06:10

I've been trying to generate summaries using Pegasus library and following the steps as mentioned -

Created Input Data .tfrecord in pegasus\data\testdata
Created a function to return transformer_params named test_transformers (suppose)
Running python3 pegasus/bin/train.py --params=test_transformer --param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model,batch_size=1,beam_size=5,beam_alpha=0.6 --model_dir=ckpt/pegasus_ckpt/xsum/model.ckpt-30000
python3 pegasus/bin/evaluate.py --params=test_transformer --param_overrides=vocab_filename=ckpt/pegasus_ckpt/c4.unigram.newline.10pct.96000.model,batch_size=1,beam_size=5,beam_alpha=0.6 --model_dir=ckpt/pegasus_ckpt/xsum/model.ckpt-30000

However, I am facing this issue in outputs when I am generating text -

Is there some issue in the way its implemented or the way I'm running the python code in step 3 and 4?

Thanks in Advance !

...

ANSWER

Answered 2020-Dec-15 at 06:10

Here's a link to the closed issue.

The reasons highlighted for this issue is :-

Source https://stackoverflow.com/questions/64068935

QUESTION

MLE of covariate parameter

Asked 2020-Nov-21 at 19:57

Hi I'm currently doing coding to simulate data using inverse method. Im using parallel exponential model where I let the lambda=b0+b1x. My simulation is based on survival analysis.

...

ANSWER

Answered 2020-Nov-21 at 18:04

The problem is you assigned n=1 in the LLF. Since we usually maximize the parameters given the entire data, n should be equal to number of observations. If you update this info, your mle will converge. For example,

Source https://stackoverflow.com/questions/64944803

QUESTION

Multiple Traveling Salemans Problem with MIP

Asked 2020-Jun-14 at 17:28

I've been trying to implement a mTSP in a normal TSP using the already made code in MIP Link

So this is the code I have so far in python and its throwing me an error which I don't understand:

...

ANSWER

Answered 2020-Jun-14 at 17:28

This is a Python issue, not a Gurobi issue. You don't completely understand how nested list-comprehensions work.

We can reproduce this with:

Source https://stackoverflow.com/questions/62365849

QUESTION

Numba-compatible implementation of np.tile?

Asked 2020-May-09 at 20:46

I'm working on some code for dehazing images, based on this paper, and I started with an abandoned Py2.7 implementation. Since then, particularly with Numba, I've made some real performance improvements (important since I'll have to run this on 8K images).

I'm pretty convinced my last significant performance bottleneck is in performing the box filter step (I've already shaved off almost a minute per image, but this last slow step is ~30s/image), and I'm close to getting it to run as nopython in Numba:

...

ANSWER

Answered 2020-May-09 at 20:46

np.tile is a bit too complicated to reimplement in full, but unless I'm misreading it looks like you only need to take a vector and then repeat it along a different axis r times.

A Numba-compatible way to do this is to write

Source https://stackoverflow.com/questions/61686293

QUESTION

Why can't I find the index of the maximum value in my spectrogram array?

Asked 2020-Feb-06 at 15:27

I'm working with a spectrogram, and I want to find the index of the maximum value in that array at a certain frequency in a certain time range in order to tell when the maximum happens. I found the maximum and it was the value I expected from a plot of the data, however when I attempt to index the value I get an empty array no matter how hard I try.

This is my input code:

...

ANSWER

Answered 2020-Feb-06 at 15:27

The function np.argmax returns the index of the maximum value in an array:

Source https://stackoverflow.com/questions/60098383

QUESTION

Simpson's Rule using for loops (numerical integration)

Asked 2019-Oct-28 at 09:11

I am trying to code Simpson's Rule in python using for loops and I keep getting an assertion error and cant find out why.

...

ANSWER

Answered 2019-Oct-27 at 20:27

Here's a fixed version of your code:

Source https://stackoverflow.com/questions/58582711

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

Vulnerabilities

No vulnerabilities reported

Install XSum

Our code requires PyTorch version 0.4.0 or 0.4.1. Please follow the instructions here: https://github.com/pytorch/pytorch#installation.

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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