awesome-gradient-boosting-papers VS Unredactor

Compare awesome-gradient-boosting-papers vs Unredactor and see what are their differences.

Unredactor

In this project we are tryinbg to create unredactor. Unredactor will take a redacted document and the redacted flag as input, inreturn it will give the most likely candidates to fill in redacted location. In this project we are only considered about unredacting names only. The data that we are considering is imdb data set with many review files. These files are used to buils corpora for finding tfidf score. Few files are used to train and in these files names are redacted and written into redacted folder. These redacted files are used for testing and different classification models are built to predict the probabilies of each class. Top 5 classes i.e names similar to the test features are written at the end of text in unreddacted foleder. (by gt0410)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
awesome-gradient-boosting-papers Unredactor
1 1
981 0
- -
3.7 10.0
about 2 months ago over 2 years ago
Python Python
Creative Commons Zero v1.0 Universal GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

awesome-gradient-boosting-papers

Posts with mentions or reviews of awesome-gradient-boosting-papers. We have used some of these posts to build our list of alternatives and similar projects.

Unredactor

Posts with mentions or reviews of Unredactor. We have used some of these posts to build our list of alternatives and similar projects.
  • Redacted and Sanitized
    1 project | /r/conspiracyNOPOL | 24 Oct 2022
    Interestingly, some years back (perhaps 12-15 years?) someone developed a program that would examine the font a physically redacted document was written in, and the spacing to try to unredact it, with some relatively decent success as only a set combination of words/letters etc. could fill a specific redacted portion. Of course the larger the redacted block, the harder it becomes. It was interesting none the less, not sure what happened to it though. This: https://github.com/gt0410/Unredactor is similar, but not what I was thinking of, and this: https://hackaday.com/2008/08/01/exposing-poorly-redacted-pdfs/ may also prove interesting for you.

What are some alternatives?

When comparing awesome-gradient-boosting-papers and Unredactor you can also consider the following projects:

SharpLearning - Machine learning for C# .Net

wordview - A Python package for Exploratory Data Analysis (EDA) for text-based data.

awesome-fraud-detection-papers - A curated list of data mining papers about fraud detection.

torchextractor - Feature extraction made simple with torchextractor

Intrusion-Detection-System-Using-Machine-Learning - Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

DeepMalwareDetector - A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.

mljar-supervised - Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

obsei - Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

stidler - Error support for **idlesteam.com**

orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis