Network-Intrusion-Detection-Using-Machine-Learning VS sc2eval

Compare Network-Intrusion-Detection-Using-Machine-Learning vs sc2eval and see what are their differences.

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Network-Intrusion-Detection-Using-Machine-Learning sc2eval
1 1
97 2
- -
1.8 10.0
over 2 years ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
GNU General Public License v3.0 only -
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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.

sc2eval

Posts with mentions or reviews of sc2eval. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Network-Intrusion-Detection-Using-Machine-Learning and sc2eval you can also consider the following projects:

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

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

AlphaPy - Python AutoML for Trading Systems and Sports Betting

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

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

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

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.

LSTM-Human-Activity-Recognition - Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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