visenger
I am the queen of ml-ops.org Working at the intersection of software engineering and machine learning. PhD in Augmented Data Quality.
Berlin, Germany
visenger's Stars
trimstray/the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
microsoft/Web-Dev-For-Beginners
24 Lessons, 12 Weeks, Get Started as a Web Developer
binhnguyennus/awesome-scalability
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
visenger/awesome-mlops
A curated list of references for MLOps
xuebinqin/U-2-Net
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
WooooDyy/LLM-Agent-Paper-List
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
daviddao/awful-ai
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
graviraja/MLOps-Basics
steven2358/awesome-generative-ai
A curated list of modern Generative Artificial Intelligence projects and services
ehmatthes/pcc_2e
Online resources for Python Crash Course (Second Edition), from No Starch Press
mariuszgil/awesome-eventstorming
Awesome EventStorming
a16z-infra/llm-app-stack
ddd-crew/eventstorming-glossary-cheat-sheet
eugeneyan/ml-design-docs
📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)
datacontract/datacontract-cli
Enforce Data Contracts
TeamTopologies/Team-Cognitive-Load-Assessment
A template for a team cognitive load assessment. Based on some of the ideas in the book _Team Topologies_ by Matthew Skelton [@matthewskelton](https://github.com/matthewskelton) and Manuel Pais [@manupaisable](https://github.com/manupaisable).
linkedin/dagli
Framework for defining machine learning models, including feature generation and transformations, as directed acyclic graphs (DAGs).
databand-ai/dbnd
DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.
google-aai/sc17
SuperComputing 2017 Deep Learning Tutorial
feststelltaste/awesome-legacy-systems
A curated list of awesome resources and links about tackling legacy systems that gives hope.
visenger/Awesome-ML-Model-Governance
This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.
JacekMajchrzak/awesome-datamesh
daviddao/green-ai
🌱 The Green AI Standard aims to develop a standard and raise awareness for best environmental practices in AI research and development
datamesh-architecture/datamesh-architecture.com
Data Mesh Architecture
bnh-ai/resources
OpenEthicsAI/Canvas
The Open Ethics Canvas is a tool for developers, product owners, and ethics professionals. It could be used as a conversation starter in the process of building transparent and explainable technology products.
visenger/DetectEr
Data Cleaning Tools Orchestration.
visenger/aiact-engineering
The reference list for the emerging term "AI Act Engineering" that refers to the engineering practices that ensure AI systems comply with the EU AI Act's regulations.
JimmyWhitaker/market_sentiment
Market sentiment example for a complete, machine learning deployment