Configure SRX interfaces with Scrapli

Last update: Jan 07, 2022

Overview

Configure SRX interfaces with Scrapli

Overview

This example will show how to configure interfaces on Juniper's SRX firewalls.

In addition to the Python script, this project also ships with additional tools to help you along your way. You will find a Dockerfile for running the project in an isolated environment, and an Invoke tasks.py file for those of us that hate typing out everything all the time.

⚙️ `How it works`

The configuration is pushed to the device using the NETCONF API on board.

Let's take a second to review the documentation in the files/docs/ directory.

Name	Description
app_async.py	Configure interface `ge-0/0/1` on our firewalls with `asyncio`

📝 `Dependencies`

Refer to the Poetry Lock file located at poetry.lock for detailed descriptions on each package installed.

🚀 `Executing the script`

This project provides two unique methods of executing the playbook:

Executing with Docker | Execute with Docker

Executing with Python | Execute with Python

Owner

Calvin Remsburg

check out the Stars tab for some much needed organization

GitHub Repository

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Configure SRX interfaces with Scrapli

Related tags

Overview

Configure SRX interfaces with Scrapli

Overview

⚙️ `How it works`

📝 `Dependencies`

🚀 `Executing the script`

Owner

Calvin Remsburg

This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

A medical imaging framework for Pytorch

A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characteristics, sequence features, and user profiles.

Research on controller area network Intrusion Detection Systems

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

Official code of "Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection"

Official page of Patchwork (RA-L'21 w/ IROS'21)

Reinforcement learning framework and algorithms implemented in PyTorch.

The official TensorFlow implementation of the paper Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition

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[CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)

A sketch extractor for anime/illustration.

Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)

A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning

Codebase for Diffusion Models Beat GANS on Image Synthesis.

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Configure SRX interfaces with Scrapli

Related tags

Overview

Configure SRX interfaces with Scrapli

Overview

⚙️ How it works

📝 Dependencies

🚀 Executing the script

Owner

Calvin Remsburg

This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

A medical imaging framework for Pytorch

A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characteristics, sequence features, and user profiles.

Research on controller area network Intrusion Detection Systems

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning, CVPR 2021

Official code of "Mitigating the Mutual Error Amplification for Semi-Supervised Object Detection"

Official page of Patchwork (RA-L'21 w/ IROS'21)

Reinforcement learning framework and algorithms implemented in PyTorch.

The official TensorFlow implementation of the paper Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition

Detectorch - detectron for PyTorch

Hso-groupie - A pwnable challenge in Real World CTF 4th

[CVPR 2021] Exemplar-Based Open-Set Panoptic Segmentation Network (EOPSN)

A sketch extractor for anime/illustration.

Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)

A hybrid SOTA solution of LiDAR panoptic segmentation with C++ implementations of point cloud clustering algorithms. ICCV21, Workshop on Traditional Computer Vision in the Age of Deep Learning

Codebase for Diffusion Models Beat GANS on Image Synthesis.

Open-source codebase for EfficientZero, from "Mastering Atari Games with Limited Data" at NeurIPS 2021.

Implementation of light baking system for ray tracing based on Activision's UberBake

Machine Learning Time-Series Platform

⚙️ `How it works`

📝 `Dependencies`

🚀 `Executing the script`