strange-sequence VS mlcourse.ai

Compare strange-sequence vs mlcourse.ai and see what are their differences.

strange-sequence

Investigating a sequence I imagined in class one day, generated as described in the README (by Jonaschmidt)
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strange-sequence mlcourse.ai
1 85
0 9,345
- -
4.3 3.4
over 1 year ago 3 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.

strange-sequence

Posts with mentions or reviews of strange-sequence. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning strange-sequence yet.
Tracking mentions began in Dec 2020.

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 2023-01-25.

What are some alternatives?

When comparing strange-sequence 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

quaternion - Add built-in support for quaternions to numpy

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..

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

GreyNSights - Privacy-Preserving Data Analysis using Pandas

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.

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.

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

julia - The Julia Programming Language

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

d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada: