mlcourse.ai VS concrete-numpy

Compare mlcourse.ai vs concrete-numpy and see what are their differences.

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mlcourse.ai concrete-numpy
85 4
9,390 226
- 0.9%
3.4 4.7
4 months ago 11 months ago
Python Python
GNU General Public License v3.0 or later 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.

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.

concrete-numpy

Posts with mentions or reviews of concrete-numpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-10.

What are some alternatives?

When comparing mlcourse.ai and concrete-numpy you can also consider the following projects:

attractors - Package for simulation and visualization of strange attractors.

concrete-ml - Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.

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

sspipe - Simple Smart Pipe: python productivity-tool for rapid data manipulation

GreyNSights - Privacy-Preserving Data Analysis using Pandas

liberate-fhe - A Fully Homomorphic Encryption (FHE) library for bridging the gap between theory and practice with a focus on performance and accuracy.

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..

python-fhez

quaternion - Add built-in support for quaternions to numpy

heflow - Open source platform for the privacy-preserving machine learning lifecycle

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.