kennethleungty / Failed-MLLinks
Compilation of high-profile real-world examples of failed machine learning projects
☆744Updated last year
Alternatives and similar repositories for Failed-ML
Users that are interested in Failed-ML are comparing it to the libraries listed below
Sorting:
- The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to s…☆717Updated this week
- Software Architecture for ML engineers☆417Updated 3 years ago
- Curated list of open source tooling for data-centric AI on unstructured data.☆733Updated 2 years ago
- skops is a Python library helping you share your scikit-learn based models and put them in production☆502Updated 2 weeks ago
- Kaggle Pipeline for tabular data competitions☆205Updated last year
- Open-Source Software, Tutorials, and Research on Data-Centric AI 🤖☆343Updated last year
- Doubt your data, find bad labels.☆518Updated last year
- Lab assignments for Introduction to Data-Centric AI, MIT IAP 2024 👩🏽💻☆476Updated 9 months ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆298Updated last year
- Fast SHAP value computation for interpreting tree-based models☆548Updated 2 years ago
- An end-to-end implementation of intent prediction with Metaflow and other cool tools☆873Updated 2 years ago
- The Fuzzy Labs guide to the universe of open source MLOps☆474Updated 6 months ago
- 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.☆344Updated 3 years ago
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 3 years ago
- Streamline scikit-learn model comparison.☆143Updated 2 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆626Updated 2 years ago
- Collection of useful machine learning codes and snippets (originally intended for my personal use)☆833Updated last year
- 🐶 A tool to package, serve, and deploy any ML model on any platform. Archived to be resurrected one day🤞☆719Updated 2 years ago
- ☆203Updated last month
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆266Updated 3 years ago
- Template for a data science project☆767Updated 3 months ago
- just a bunch of useful embeddings for scikit-learn pipelines☆520Updated 2 months ago
- A set of examples illustrating some possible use cases for NannyML☆20Updated 2 years ago
- Frouros: an open-source Python library for drift detection in machine learning systems.☆238Updated 2 weeks ago
- Educational materials on deep learning by Weights & Biases☆644Updated 11 months ago
- Software design principles for machine learning applications☆374Updated 3 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆443Updated last year
- ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation☆215Updated last month
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆209Updated 3 years ago
- Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)☆314Updated last week