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

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

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
Source Code
medium.com
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AlphaPy

Python AutoML for Trading Systems and Sports Betting (by ScottfreeLLC)
Machine Learning predictive-analytics Classification Regression scikit-learn Pandas Trading Stocks Sports Portfolio Cryptocurrency trading-strategies Keras Data Science Python iex Deep Learning trading-platform time-series-analysis Backtesting
Source Code
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Network-Intrusion-Detection-Using-Machine-Learning AlphaPy
1 25
97 1,049
- 1.9%
1.8 6.7
over 2 years ago 3 months ago
Jupyter Notebook Python
GNU General Public License v3.0 only Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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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.

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.

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.

What are some alternatives?

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

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

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

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

guesslang - Detect the programming language of a source code

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.

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

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

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

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.

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

Network-Intrusion-Detection-Using-Machine-Learning vs imodels AlphaPy vs lazypredict Network-Intrusion-Detection-Using-Machine-Learning vs ydata-profiling AlphaPy vs guesslang Network-Intrusion-Detection-Using-Machine-Learning vs data-science-ipython-notebooks AlphaPy vs sup-res Network-Intrusion-Detection-Using-Machine-Learning vs One-Piece-Image-Classifier AlphaPy vs best-of-ml-python Network-Intrusion-Detection-Using-Machine-Learning vs TensorFlow2.0_Notebooks AlphaPy vs data-science-ipython-notebooks Network-Intrusion-Detection-Using-Machine-Learning vs Food-Recipe-CNN AlphaPy vs MLBox