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

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

Awesome-Dataset-Distillation

Awesome Dataset Distillation Papers (by Guang000)
awesome-list Deep Learning
Source Code
guang000.github.io
Suggest alternative
Edit details

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
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
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
Awesome-Dataset-Distillation Intrusion-Detection-System-Using-Machine-Learning
3 3
1,176 326
- 3.7%
9.6 2.9
3 days ago 7 months ago
HTML Jupyter Notebook
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.

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.

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.

What are some alternatives?

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

textual_inversion

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

MinVIS

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

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

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

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

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