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

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

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AlphaPy Network-Intrusion-Detection-Using-Machine-Learning
25 1
1,049 97
1.9% -
6.7 1.8
3 months ago over 2 years ago
Python Jupyter Notebook
Apache License 2.0 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.
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.

AlphaPy

Posts with mentions or reviews of AlphaPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-23.

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

lazypredict - Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

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

guesslang - Detect the programming language of a source code

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

sup-res - A great companion for finding key support and resistance levels on financial charts, cryptocurrencies.

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.

best-of-ml-python - 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

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

MLBox - MLBox is a powerful Automated Machine Learning python library.

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