eugeneyan / applyingmlLinks
📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.
☆203Updated last year
Alternatives and similar repositories for applyingml
Users that are interested in applyingml are comparing it to the libraries listed below
Sorting:
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆210Updated 4 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆265Updated 3 years ago
- Interview Questions and Answers for Machine Learning Engineer role☆116Updated 7 months ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆97Updated 3 years ago
- A list of public machine learning/data science/AI contests.☆205Updated this week
- Software Architecture for ML engineers☆415Updated 3 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆184Updated last year
- 100 exercises to learn Python Datatable☆270Updated 4 years ago
- Machine Learning begins with Human Learning☆108Updated 4 years ago
- Kaggle Pipeline for tabular data competitions☆205Updated last year
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆639Updated 2 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆241Updated 2 years ago
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆171Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆91Updated 3 years ago
- ☆38Updated 4 years ago
- This repository provides a curated list of references about Machine Learning Model Governance, Ethics, and Responsible AI.☆121Updated last year
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆173Updated 4 years ago
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆343Updated 3 years ago
- 📚 Curated list of machine learning engineering blogs.☆52Updated 8 months ago
- Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…☆184Updated 3 years ago
- Blogs on Machine Learning and Deep learning☆114Updated 4 years ago
- Code samples for the Effective Data Science Infrastructure book☆116Updated 2 years ago
- ML Research paper summaries, annotated papers and implementation walkthroughs☆114Updated 3 years ago
- 🤓 A curated awesome list of Machine Learning Engineering resources. Feel free to contribute!☆299Updated last year
- Code and files to go along with CS329s machine learning model deployment tutorial.☆616Updated 3 years ago
- Deploy transformers serverless on AWS Lambda☆122Updated 4 years ago
- Joining the modern data stack with the modern ML stack☆201Updated 2 years ago
- Real data science interview assignments☆94Updated 5 years ago
- GitHub Repo with various ML/AI/DS resources that I find useful☆467Updated last year