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.☆208Updated 3 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆263Updated 2 years ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆148Updated last year
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆182Updated last year
- Software Architecture for ML engineers☆412Updated 3 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- Interview Questions and Answers for Machine Learning Engineer role☆119Updated 3 months ago
- 100 exercises to learn Python Datatable☆270Updated 3 years ago
- Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow☆239Updated 2 years ago
- 📝 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)☆618Updated 2 years ago
- A list of public machine learning/data science/AI contests.☆204Updated last week
- An assignment for CMU CS11-711 Advanced NLP, building NLP systems from scratch☆170Updated 2 years 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…☆183Updated 3 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆89Updated 3 years ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆226Updated 3 years ago
- Kaggle Pipeline for tabular data competitions☆206Updated last year
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆174Updated 3 years ago
- Blogs on Machine Learning and Deep learning☆114Updated 3 years ago
- ☆38Updated 3 years ago
- Machine Learning begins with Human Learning☆108Updated 4 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆91Updated 3 years ago
- Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al☆53Updated 2 years ago
- 🔬 Sharing your data science notebooks with the community has never been this easy.☆40Updated 2 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last week
- GitHub Repo with various ML/AI/DS resources that I find useful☆465Updated last year
- This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.☆341Updated 3 years ago
- ML Research paper summaries, annotated papers and implementation walkthroughs☆113Updated 3 years ago
- Real data science interview assignments☆94Updated 5 years ago
- Joining the modern data stack with the modern ML stack☆199Updated 2 years ago
- 📚 Curated list of machine learning engineering blogs.☆41Updated 4 months ago