mlcourse.ai VS GreyNSights

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

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mlcourse.ai GreyNSights
52 1
8,476 18
- -
5.7 0.0
9 days ago about 1 year ago
Python Python
GNU General Public License v3.0 or later MIT License
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.

GreyNSights

Posts with mentions or reviews of GreyNSights. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-04.
  • Anyone here building something new on their own?
    2 projects | reddit.com/r/bangalore | 4 Oct 2021
    Hello, I work for a startup that is solving privacy preserving AI. Apart from that I am working on building a open source software called GreyNsigths (https://github.com/kamathhrishi/GreyNSights). Also I maintain and develop a open source library for secure multi party computation called SyMPC that allows users to train and evaluate encrypted neural networks in Pytorch.

What are some alternatives?

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

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.

concrete-numpy - Concrete Numpy is an open-source library which simplifies the use of fully homomorphic encryption.

python-performance - Repository for the book Fast Python - published by Manning

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

missingno - Missing data visualization module for Python.

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..

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

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

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

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.