parad0x96

parad0x96's Stars

• igorbenav/fastcrud

  FastCRUD is a Python package for FastAPI, offering robust async CRUD operations and flexible endpoint creation utilities.

  Language:Python56632

• sbrunner/deskew

  Library used to deskew a scanned document

  Language:Python39547

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python165k43.7k

• krishnaik06/Machine-Learning-in-90-days

  Language:Jupyter Notebook1.2k1.5k

• keithrozario/Klayers

  Python Packages as AWS Lambda Layers

  Language:Python2k300

• lllyasviel/Fooocus

  Focus on prompting and generating

  Language:Python38.5k5.2k

• dbeaver/dbeaver

  Free universal database tool and SQL client

  Language:Java38.6k3.3k

• modularml/mojo

  The Mojo Programming Language

  Language:Mojo22.4k2.5k

• elmohriothmane/messagingApp

  Language:EJS3

• abdxllatif/CRUD-AngularJS

  CRUD Application using AngularJS and API Rest and JSON server

  Language:TypeScript3

• dfourcfive/flutter_assets_to_path_constants_bash_script

  Language:Shell3

• parad0x96/django-redbeat

  Django celery redbeat

  Language:Python6

• dfourcfive/air_quality

  Language:JavaScript4

• dfourcfive/news-discord-js-bot

  Language:JavaScript31

• dfourcfive/flutter_amplify_helper

  Language:Dart5

• geyuying/PF-AFN

  Official code for "Parser-Free Virtual Try-on via Distilling Appearance Flows", CVPR 2021.

  Language:Python536139

• dfourcfive/dzair_data_usage

  Language:Dart104

• Manishsinghrajput98/Deepfashion2_Training

  Language:Jupyter Notebook2111

• bibs2091/Anomaly-detection-system

  Machine learning based Intrusion detection system (IDS)

  Language:Java4716

• CanadianInstituteForCybersecurity/CICFlowMeter

  CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

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