wikipedia_abuse_checker VS mlcourse.ai

Compare wikipedia_abuse_checker vs mlcourse.ai and see what are their differences.

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
wikipedia_abuse_checker mlcourse.ai
2 85
3 9,400
- -
7.8 3.4
8 days ago 4 months ago
Python Python
- GNU General Public License v3.0 or later
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.

wikipedia_abuse_checker

Posts with mentions or reviews of wikipedia_abuse_checker. We have used some of these posts to build our list of alternatives and similar projects.
  • Which wikipedia pages in India were abused the most in 2021?
    1 project | /r/india | 21 Dec 2021
    The code for the project is available at https://github.com/shijithpk/wikipedia_abuse_checker.
  • Which Wikipedia pages in India are abused the most?
    1 project | news.ycombinator.com | 21 Dec 2021
    Hi, my name is Shijith, and I'm a freelance data journalist from India (Worked previously at Hindustan Times and IndiaSpend).

    Just posting a data story I did recently about wikipedia abuse in India. Such abuse is an old problem, but it's getting more media attention with users distorting facts on pages about the Delhi riots or farmer protests. Sometimes users engage in straight out vandalism where they delete whole sections from a page.

    I tried to determine which wikipedia pages faced the most abuse this year, and also introduce a twitter account that allows people to track wikipedia abuse weekly.

    This is the twitter account for tracking wikipedia abuse every week: http://twitter.com/abuse_checker

    And here's the python code I used for the project: https://github.com/shijithpk/wikipedia_abuse_checker

    (Am in the process of re-working the code. Right now it's querying the wikipedia API every week for edit histories of over 150k articles, and the whole run is taking 2 days now. Discovered an API endpoint for recent changes that should make things more efficient.)

    Have any questions or feedback, do let me know below!

mlcourse.ai

Posts with mentions or reviews of mlcourse.ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.

What are some alternatives?

When comparing wikipedia_abuse_checker and mlcourse.ai you can also consider the following projects:

attractors - Package for simulation and visualization of strange attractors.

napari - napari: a fast, interactive, multi-dimensional image viewer for python

concrete-numpy - Concrete-Numpy: A library to turn programs into their homomorphic equivalent.

GreyNSights - Privacy-Preserving Data Analysis using Pandas

hiitpi - A workout trainer Dash/Flask app that helps track your HIIT workouts by analyzing real-time video streaming from your sweet Pi using machine learning and Edge TPU..

quaternion - Add built-in support for quaternions to numpy

Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

WaveNCC - An app to compute the normalization coefficients of a given set of orthogonal 1D complex wave functions.

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

julia - The Julia Programming Language

open-data-anonymizer - Python Data Anonymization & Masking Library For Data Science Tasks

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.