Create fulfillment webhooks for Dialogflow using Python

dialogflow-fulfillment dialogflow-fulfillment is a package for Python that helps developers to create webhook services for Dialogflow. The package provides an API for creating and manipulating response messages,output contexts and follow-up events in conversations. A simple example from dialogflow_fulfillment import QuickReplies, WebhookClient # Define a custom handler function def handler(agent: WebhookClient) -> None: “”” This handler sends a text message along with a quick replies message back to Dialogflow, which uses the messages to build the final response to the user. […]

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pyHype: Computational Fluid Dynamics in Python

pyHype pyHype is a Python framework for developing parallelized Computational Fluid Dynamics software to solve the hyperbolic 2D Euler equations on distributed, multi-block structured grids. It can be used as a solver to generate numerical predictions of 2D inviscid flow fields, or as a platform for developing new CFD techniques and methods. Contributions are welcome! pyHype is in early stages of development, I will be updating it regularly, along with its documentation. The core idea behind pyHype is flexibility and […]

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The Walrus Operator: Python 3.8 Assignment Expressions

Each new version of Python adds new features to the language. For Python 3.8, the biggest change is the addition of assignment expressions. Specifically, the := operator gives you a new syntax for assigning variables in the middle of expressions. This operator is colloquially known as the walrus operator. This tutorial is an in-depth introduction to the walrus operator. You will learn some of the motivations for the syntax update and explore some examples where assignment expressions can be useful. […]

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How To Generate Quality Training Data For Your Machine Learning Projects

Have you run into issues acquiring the right type of data for your machine learning (ML) projects? You’re not alone. Many teams do. And data is one of the key sticking points in starting AI initiatives at companies. In fact, according to IBM’s CEO, Arvind Krishna, data-related challenges are the top reason IBM clients have halted or canceled AI projects.  Often what happens in practice is that the relevant ML training data is either not collected, or collected but the […]

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A multipurpose discord bot with more than 220 commands

WM Bot A advanced bot with more than 220 commands to fit your needs I started learning python around March 2020. This project was started as a way to become better at python in July 7th 2020. And the code you’ll see in this repository was written between then and now. some code may have really bad practices because of it. if you find any issues with the code, please report them to me in my discord: Wasi Master#6969 or […]

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PyPSA: Python for Power System Analysis

PyPSA PyPSA: Python for Power System Analysis. PyPSA stands for “Python for Power System Analysis”. It is pronounced “pipes-ah”. PyPSA is an open source toolbox for simulating and optimising modern power systems that include features such as conventional generators with unit commitment, variable wind and solar generation, storage units, coupling to other energy sectors, and mixed alternating and direct current networks. PyPSA is designed to scale well with large networks and long time series. This project is maintained by the […]

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A python tool to manage configuration files, build scripts etc

repo_helper A tool to manage configuration files, build scripts etc. across multiple projects. This project is in an early stage, and some things might not work correctly or break in a new release. Note: The autocommit functionality is currently broken on Windows, but works OK on Linux and macOS. Installation repo_helper can be installed from PyPI or Anaconda. To install with pip: $ python -m pip install repo_helper To install with conda: GitHub https://github.com/repo-helper/repo_helper    

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One Stop Anomaly Shop with python

One Stop Anomaly Shop (OSAS) This repository implements the models, methods and techniques presented in our paper: A Principled Approach to Enriching Security-related Data for Running Processes through Statistics and Natural Language Processing. One Stop Anomaly Shop: Anomaly detection using two-phase approach: (a) pre-labeling using statistics, Natural Language Processing and static rules; (b) anomaly scoring using supervised and unsupervised machine learning. Introduction video (follows quick start guide) This video is a recording of our Hack In The Box (HITB) Security […]

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An aggressor plugin extension for Cobalt Strike which enables pypykatz to interface with the beacons remotely

Aggrokatz is an aggressor plugin extension for Cobalt Strike which enables pypykatz to interface with the beacons remotely and allows it to parse LSASS dump files and registry hive files to extract credentials and other secrets stored without downloading the file and without uploading any suspicious code to the beacon. aggrokatz is an Aggressor plugin extension for CobaltStrike which enables pypykatz to interface with the beacons remotely.The current version of aggrokatz allows pypykatz to parse LSASS dump files and Registry […]

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Representing Scenes as Compositional Generative Neural Feature Fields

GIRAFFE This repository contains the code for the CVPR 2021 paper “GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields” GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields If you find our code or paper useful, please cite as @inproceedings{GIRAFFE, title = {GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields}, author = {Niemeyer, Michael and Geiger, Andreas}, booktitle = {Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)}, year = {2021} } TL; DR – Quick Start […]

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