Intrusion-Detection-System-Using-Machine-Learning VS Awesome-Dataset-Distillation

Compare Intrusion-Detection-System-Using-Machine-Learning vs Awesome-Dataset-Distillation and see what are their differences.

Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..) (by Western-OC2-Lab)
Machine Learning random-forest decision-tree Xgboost bayesian-optimization hyperparameter-optimization hpo kmeans python-examples intrusion-detection intrusion-detection-system autonomous-vehicles cyber-security network-security stacking cicids2017 Catboost ensemble-learning Lightgbm
Source Code
Suggest alternative
Edit details

Awesome-Dataset-Distillation

Awesome Dataset Distillation Papers (by Guang000)
awesome-list Deep Learning
Source Code
guang000.github.io
Suggest alternative
Edit details
WorkOS
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
Intrusion-Detection-System-Using-Machine-Learning Awesome-Dataset-Distillation
3 3
319 1,147
6.6% -
2.9 9.6
6 months ago 6 days ago
Jupyter Notebook HTML
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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.

Intrusion-Detection-System-Using-Machine-Learning

Posts with mentions or reviews of Intrusion-Detection-System-Using-Machine-Learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-03.

Awesome-Dataset-Distillation

Posts with mentions or reviews of Awesome-Dataset-Distillation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-03.

What are some alternatives?

When comparing Intrusion-Detection-System-Using-Machine-Learning and Awesome-Dataset-Distillation you can also consider the following projects:

VideoX - VideoX: a collection of video cross-modal models

textual_inversion

MinVIS

Cold-Diffusion-Models - Official implementation of Cold-Diffusion for different transformations in pytorch.

PeRFception - [NeurIPS2022] Official implementation of PeRFception: Perception using Radiance Fields.

bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.

catboost-quickstart - 🐈 🚀 Quickstart machine learning notebooks for creating CatBoost models

Intrusion-Detection-System-Using-Machine-Learning vs VideoX Awesome-Dataset-Distillation vs textual_inversion Intrusion-Detection-System-Using-Machine-Learning vs MinVIS Awesome-Dataset-Distillation vs VideoX Intrusion-Detection-System-Using-Machine-Learning vs Cold-Diffusion-Models Awesome-Dataset-Distillation vs PeRFception Intrusion-Detection-System-Using-Machine-Learning vs textual_inversion Awesome-Dataset-Distillation vs bitsandbytes Intrusion-Detection-System-Using-Machine-Learning vs PeRFception Awesome-Dataset-Distillation vs MinVIS Intrusion-Detection-System-Using-Machine-Learning vs catboost-quickstart Awesome-Dataset-Distillation vs Cold-Diffusion-Models