tcbenchstack/tcbench
tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.
This tool helps network engineers and administrators automatically identify and categorize different types of network traffic, like video calls versus social media, based on the packets flowing through their networks. You input raw network packet data, and it outputs labels indicating which application or service generated that traffic, helping you manage network resources more effectively. Network operations and security teams would find this particularly useful.
No commits in the last 6 months.
Use this if you need to build and test machine learning models for identifying specific applications or services from raw network traffic data.
Not ideal if you are looking for an out-of-the-box network monitoring solution rather than a framework for developing custom traffic classification models.
Stars
32
Forks
5
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 20, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/tcbenchstack/tcbench"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
opentensor/bittensor
Internet-scale Neural Networks
trailofbits/fickling
A Python pickling decompiler and static analyzer
benchopt/benchopt
A framework for reproducible, comparable benchmarks
BiomedSciAI/fuse-med-ml
A python framework accelerating ML based discovery in the medical field by encouraging code...
mosaicml/streaming
A Data Streaming Library for Efficient Neural Network Training