Food-Recipe-CNN VS Network-Intrusion-Detection-Using-Machine-Learning

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

Food-Recipe-CNN

food image to recipe with deep convolutional neural networks. (by Murgio)
convolutional-neural-networks Keras Chef Deep Learning Data Science Python3 Recipes cooking-dishes Machine Learning inceptionv3 Food Cnn recognition dish jupyter-notebook Classification vgg16 vgg Tsne food-classification
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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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Food-Recipe-CNN Network-Intrusion-Detection-Using-Machine-Learning
1 1
560 97
- -
0.0 1.8
over 1 year ago over 2 years ago
Jupyter Notebook Jupyter Notebook
- GNU General Public License v3.0 only
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Food-Recipe-CNN

Posts with mentions or reviews of Food-Recipe-CNN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-16.

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

simplebendingpractice - BeamBending: a teaching aid for 1-D shear-force and bending-moment diagrams

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

Playing-Cards-Classification-TensorFlow-CNN - CNN Model to Classify Playing Cards

AlphaPy - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

CNN-Filter-DB - A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR 2022 ORAL)

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

neuralnet-browser - Artificial Neural Network from scratch using Javascript on the browser

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

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

Food-Recipe-CNN vs simplebendingpractice Network-Intrusion-Detection-Using-Machine-Learning vs imodels Food-Recipe-CNN vs Playing-Cards-Classification-TensorFlow-CNN Network-Intrusion-Detection-Using-Machine-Learning vs AlphaPy Food-Recipe-CNN vs CNN-Filter-DB Network-Intrusion-Detection-Using-Machine-Learning vs ydata-profiling Food-Recipe-CNN vs neuralnet-browser Network-Intrusion-Detection-Using-Machine-Learning vs data-science-ipython-notebooks Food-Recipe-CNN vs One-Piece-Image-Classifier Network-Intrusion-Detection-Using-Machine-Learning vs TensorFlow2.0_Notebooks Food-Recipe-CNN vs computervision-recipes Network-Intrusion-Detection-Using-Machine-Learning vs One-Piece-Image-Classifier