One-Piece-Image-Classifier VS Network-Intrusion-Detection-Using-Machine-Learning

Compare One-Piece-Image-Classifier vs Network-Intrusion-Detection-Using-Machine-Learning and see what are their differences.

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One-Piece-Image-Classifier Network-Intrusion-Detection-Using-Machine-Learning
1 1
2 97
- -
0.0 1.8
almost 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only 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.
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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.

One-Piece-Image-Classifier

Posts with mentions or reviews of One-Piece-Image-Classifier. We have used some of these posts to build our list of alternatives and similar projects.

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 One-Piece-Image-Classifier and Network-Intrusion-Detection-Using-Machine-Learning you can also consider the following projects:

PConv-Keras - Unofficial implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions". Try at: www.fixmyphoto.ai

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

Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

AlphaPy - Python AutoML for Trading Systems and Sports Betting

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

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

tutorial-face-mask-detection - In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

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.

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

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

glasses - High-quality Neural Networks for Computer Vision 😎

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