EthicalML / awesome-annual-reviews-and-trends
A curated list of awesome year-in-review and annual trends / predictions for 2022, 2023 and beyond π
β33Updated last year
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- Demo on how to use Prefect with Dockerβ26Updated 2 years ago
- A modern template for data science projects with all the necessary tools for experiment, development, testing, and deployment. From noteβ¦β13Updated this week
- Increase citations, ease review & collaboration A collection of "easy wins" to make machine learning in research reproducible. This tutβ¦β70Updated 7 months ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applicationsβ95Updated last year
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fastβ16Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.β39Updated last year
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniquesβ63Updated 3 months ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.β36Updated 3 years ago
- Hands-on Training for Recommender Systemsβ11Updated 3 years ago
- An end-to-end project on customer segmentationβ19Updated 2 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning systemβ75Updated last year
- β24Updated last year
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API πβ53Updated 2 years ago
- Public repository holding examples for dataheroes libraryβ19Updated 2 weeks ago
- Quick demo of setting up a deep learning Python environment using conda and pip-tools.β38Updated 3 years ago
- Framework for building and maintaining self-updating prompts for LLMsβ58Updated 3 months ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projectsβ105Updated last year
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.β63Updated 7 months ago
- A Python library for machine-learning and feedback loops on streaming dataβ59Updated last year
- Structural Time Series on US electricity demand dataβ23Updated 3 years ago
- Public notebooks and datasets to accompany the Data Analysis with Polars course on Udemyβ39Updated last year
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to productionβ¦β29Updated 9 months ago
- Talk "Beyond pandas: The great Python dataframe showdown"β37Updated last year
- Best practices for engineering ML pipelines.β37Updated 2 years ago
- Repo for Hamel's Professional Websiteβ44Updated 3 weeks ago
- Repository for the ML Technology Readiness Levels frameworkβ33Updated 2 months ago
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.β31Updated last year
- Learn how to create reliable ML systems by testing code, data and models.β81Updated 2 years ago
- Introduction to Data-Centric AI, MIT IAP 2023 π€β96Updated last month
- Interact privately with your documents using the power of GPT, 100% privately, no data leaksβ33Updated last year