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
67 4
8,586 177
- 21.5%
2.3 6.8
19 days ago 3 days 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 2023-01-25.

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.
  • [P] ML over Encrypted Data
    2 projects | reddit.com/r/MachineLearning | 10 Feb 2022
    Hi everyone, we have developed a library that applies numpy functions over encrypted data (using homomorphic encryption). The repo is available in open source at https://github.com/zama-ai/concrete-numpy

What are some alternatives?

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

concrete-ml - Concrete-ML is a Privacy-Preserving Machine Learning (PPML) open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists. Particular care was given to the simplicity of our Python package in order to make it usable by any data scientist, even those without prior cryptography knowledge.

attractors - Package for simulation and visualization of strange attractors.

julia - The Julia Programming Language

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.

GreyNSights - Privacy-Preserving Data Analysis using Pandas

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

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

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..

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.

python-fhez

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows