Data-science-best-resources VS manjaro-linux

Compare Data-science-best-resources vs manjaro-linux and see what are their differences.

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Data-science-best-resources manjaro-linux
2 2
1,874 68
- -
0.0 2.6
8 days ago 3 months ago
Shell
MIT License 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.

Data-science-best-resources

Posts with mentions or reviews of Data-science-best-resources. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-13.

manjaro-linux

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

What are some alternatives?

When comparing Data-science-best-resources and manjaro-linux you can also consider the following projects:

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.

cheat-sheet-pdf - 📜 A Cheat-Sheet Collection from the WWW

Keras - Deep Learning for humans

100-Days-Of-ML-Code - 100 Days of ML Coding

looper - A resource list for causality in statistics, data science and physics

getting-started-with-genomics-tools-and-resources - Unix, R and python tools for genomics and data science

python-geospatial - A collection of Python packages for geospatial analysis with binder-ready notebook examples

ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.

Blazor-MachineIntelligence - Centralized repository of my Blazor apps with Machine Intelligence (Statistics, Analytics, Machine Learning, AI, Information Retrieval etc.). This repository will coalesce all of my Machine Intelligence repos in a single area and point to their respective: live demo, source code, video & presentation locations.

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.

awesome-artificial-intelligence - A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.

IntRo - Introduction to R and the tidyverse for epidemiologists