scCODA VS Network-Intrusion-Detection-Using-Machine-Learning

Compare scCODA vs Network-Intrusion-Detection-Using-Machine-Learning and see what are their differences.

scCODA

A Bayesian model for compositional single-cell data analysis (by theislab)
Tensorflow compositional-changes statistical-analysis single-cell-rna-seq
Source Code
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Network-Intrusion-Detection-Using-Machine-Learning

A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach (by abhinav-bhardwaj)
Machine Learning Deep Learning nsl-kdd autoencoder svm-classifier mlp-classifier Data Science Pandas Keras statistical-analysis Cybersecurity lstm-model cnn-keras Network network-security Classification supervised-learning intrusion-detection-system
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scCODA Network-Intrusion-Detection-Using-Machine-Learning
1 1
134 97
3.7% -
2.2 1.8
about 1 year ago over 2 years ago
Jupyter Notebook Jupyter Notebook
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 only
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.
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scCODA

Posts with mentions or reviews of scCODA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-05.

Network-Intrusion-Detection-Using-Machine-Learning

Posts with mentions or reviews of Network-Intrusion-Detection-Using-Machine-Learning. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing scCODA and Network-Intrusion-Detection-Using-Machine-Learning you can also consider the following projects:

popscle - A suite of population scale analysis tools for single-cell genomics data including implementation of Demuxlet / Freemuxlet methods and auxilary tools

imodels - Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

miloR - R package implementation of Milo for testing for differential abundance in KNN graphs

AlphaPy - Python AutoML for Trading Systems and Sports Betting

danbooru-tags - An analysis of tags and metadata on Danbooru

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

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.

One-Piece-Image-Classifier - A quick image classifier trained with manually selected One Piece images.

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

Food-Recipe-CNN - food image to recipe with deep convolutional neural networks.

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

scCODA vs popscle Network-Intrusion-Detection-Using-Machine-Learning vs imodels scCODA vs miloR Network-Intrusion-Detection-Using-Machine-Learning vs AlphaPy scCODA vs danbooru-tags Network-Intrusion-Detection-Using-Machine-Learning vs ydata-profiling Network-Intrusion-Detection-Using-Machine-Learning vs data-science-ipython-notebooks Network-Intrusion-Detection-Using-Machine-Learning vs One-Piece-Image-Classifier Network-Intrusion-Detection-Using-Machine-Learning vs TensorFlow2.0_Notebooks Network-Intrusion-Detection-Using-Machine-Learning vs Food-Recipe-CNN Network-Intrusion-Detection-Using-Machine-Learning vs danbooru-tags Network-Intrusion-Detection-Using-Machine-Learning vs FLAML