dl4marco-bert | * * * * * Most of the code in this repository

by nyu-dl Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | dl4marco-bert Summary

dl4marco-bert is a Python library. dl4marco-bert has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However dl4marco-bert has 1 bugs. You can download it from GitHub.

***** Most of the code in this repository was copied from the original BERT repository.*****. This repository contains the code to reproduce our entry to the MSMARCO passage ranking task, which was placed first with a large margin over the second place. It also contains the code to reproduce our result on the TREC-CAR dataset, which is ~22 MAP points higher than the best entry from 2017 and a well-tuned BM25.

Support

Quality

Security

License

Reuse

Support

dl4marco-bert has a low active ecosystem.

It has 385 star(s) with 78 fork(s). There are 17 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 41 have been closed. On average issues are closed in 7 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of dl4marco-bert is current.

Quality

dl4marco-bert has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 73 code smells.

Security

dl4marco-bert has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

dl4marco-bert code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dl4marco-bert is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

dl4marco-bert releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

dl4marco-bert saves you 1118 person hours of effort in developing the same functionality from scratch.

It has 2528 lines of code, 167 functions and 13 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed dl4marco-bert and discovered the below as its top functions. This is intended to give you an instant insight into dl4marco-bert implemented functionality, and help decide if they suit your requirements.

Transformer transformer model
Get the shape of a tensor
Dropout dropout
Attention layer
Convert a dataset to TFRecord
Convert text to BERT input
Convert to unicode
Embedding postprocessor
Layer norm and dropout
Flatten a list of headings
Create a new annotation file
Load a run file
Load a corpus
Return an iterator over all pages in a file
Load vocabulary from file
Create a Page from a Cbor element
Load qrels
Creates the attention mask from from from_tensor
Return an iterator over the lines in a file
Convert to TFRecord
Tokenize text
Builds input_fn
Construct a function for TPU Estimator
Convert a eval dataset to tfrecord
Compute word embedding
Calculate the metrics for the given metric

Get all kandi verified functions for this library.

dl4marco-bert Key Features

No Key Features are available at this moment for dl4marco-bert.

dl4marco-bert Examples and Code Snippets

No Code Snippets are available at this moment for dl4marco-bert.

Community Discussions

No Community Discussions are available at this moment for dl4marco-bert.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install dl4marco-bert

First, we need to download and extract MS MARCO and BERT files:.

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 .

Find more information at: