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

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

sc2eval

LSTM-based machine learning solution for evaluation of strategic position in Starcraft II. (by PexoDev)
Evaluation evaluation-kit Lstm lstm-model lstm-neural-network lstm-neural-networks Machine Learning Machinelearning prediction-model Sc2 starcraft2
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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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sc2eval Network-Intrusion-Detection-Using-Machine-Learning
1 1
2 97
- -
10.0 1.8
almost 2 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
- GNU General Public License v3.0 only
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sc2eval

Posts with mentions or reviews of sc2eval. 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 sc2eval and Network-Intrusion-Detection-Using-Machine-Learning you can also consider the following projects:

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

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

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

AlphaPy - Python AutoML for Trading Systems and Sports Betting

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.

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

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

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.

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

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

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

sc2eval vs stock-prediction-deep-neural-learning Network-Intrusion-Detection-Using-Machine-Learning vs imodels sc2eval vs cryptocurrency-price-prediction Network-Intrusion-Detection-Using-Machine-Learning vs AlphaPy sc2eval vs Twitter-sentiment-analysis Network-Intrusion-Detection-Using-Machine-Learning vs ydata-profiling sc2eval vs LSTM-Human-Activity-Recognition Network-Intrusion-Detection-Using-Machine-Learning vs data-science-ipython-notebooks sc2eval vs TensorFlow2.0_Notebooks Network-Intrusion-Detection-Using-Machine-Learning vs One-Piece-Image-Classifier Network-Intrusion-Detection-Using-Machine-Learning vs TensorFlow2.0_Notebooks Network-Intrusion-Detection-Using-Machine-Learning vs Food-Recipe-CNN