Armand Brunelle's starred repositories
generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI đź”— https://microsoft.github.io/generative-ai-for-beginners/
counterfit
a CLI that provides a generic automation layer for assessing the security of ML models
azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
pymap_elites
map elites python reference implementation
GitcoinDAO-Sybil-Hunter-2022
Design 5 POAP "Proof Of Attendance Protocol" for the Sybil Hunter Challenge event happening on GitcoinDAO.
EncryptionNameGame
Python Encryption Name Game
GitcoinDAO-SybilHunterChallenge-POAP
Submission for bounty - Badges
mindhacking
cliffs notes on various mind hacking things i've learned
Buffon-s-Needle
Simulation of Buffon's Needle problem in Python
github-readme-stats
:zap: Dynamically generated stats for your github readmes
ML-airport-estimated-ON
The ML-airport-estimated-ON software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for predicting arrival ON time. The software is designed to point to databases which are not provided as part of the software release and thus this software is only intended to serve as an example of best practices. The software is built in python and leverages open-source libraries kedro, scikitlearn, MLFlow, and others. The software provides examples how to build three distinct pipelines for data query and save, data engineering, and data science. These pipelines enable scalable, repeatable, and maintainable development of ML models.
ML-airport-arrival-runway
The ML-airport-arrival-runway software is developed to provide a reference implementation to serve as a research example how to train and register Machine Learning (ML) models intended for predicting arrival runway assignments. The software is designed to point to databases which are not provided as part of the software release and thus this software is only intended to serve as an example of best practices. The software is built in python and leverages open-source libraries kedro, scikitlearn, MLFlow, and others. The software provides examples how to build three distinct pipelines for data query and save, data engineering, and data science. These pipelines enable scalable, repeatable, and maintainable development of ML models.
Curation-Game
A fully decentralized curation game for decentralized gitcoin grants.
BrightID-AntiSybil
Sybil detection package for BrightID
governance
✨ Gitcoin Community Governance Contracts
ethereum-transfer
The Ethereum Sender is a Python script for automatic ETH transfers between wallets. Monitor incoming ETH, send it to designated recipients, and sweep crypto effortlessly. Sample code for bot sweeper attack.
cryptozombies-lesson-code
cryptozomebie lesson code
scaffold-eth
🏗 forkable Ethereum dev stack focused on fast product iterations
commercial-marketplace-resources
Various samples demonstrating commercial marketplace related scenarios.
maple-core
Maple Core Protocol
adversary_emulation_library
An open library of adversary emulation plans designed to empower organizations to test their defenses based on real-world TTPs.
estadisticaComputacional2016
Página del curso de EstadĂstica Computacional para las MaestrĂas en Ciencias del ITAM
nlp_overview
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing