kweinmeister / notebooksLinks
Jupyter notebooks for learning and demonstrations
β12Updated last week
Alternatives and similar repositories for notebooks
Users that are interested in notebooks are comparing it to the libraries listed below
Sorting:
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.β40Updated 6 months ago
- π Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projectsβ80Updated 3 years ago
- Projects developed by Domino's R&D teamβ78Updated 3 years ago
- Enterprise Solution for Text Classification (using BERT)β10Updated 2 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard includedβ28Updated 3 years ago
- Streamlit apps on Cloud Run with Identity-Aware Proxy (IAP).β10Updated 3 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.β37Updated 4 years ago
- Best practices for engineering ML pipelines.β35Updated 3 years ago
- Code labs for Vertex AIβ46Updated 3 years ago
- Demonstration of the Model Training as a CI/CD System in Vertex AIβ29Updated 3 years ago
- Slides and notebook for the workshop on serving bert models in productionβ25Updated 2 years ago
- Project demonstrating dual model deployment scenarios using Vertex AI (GCP).β34Updated 3 years ago
- Demo on how to use Prefect with Dockerβ25Updated 2 years ago
- A Terraform module for scheduling Vertex Pipeline runs using Google Cloud Schedulerβ13Updated 2 years ago
- β21Updated last year
- A neural network hyper parameter tunerβ30Updated last year
- Strategies to deploy deep learning modelsβ27Updated 6 years ago
- [IntemarchΓ©] Sales forecasting challengeβ11Updated 4 years ago
- β2Updated 2 years ago
- Instant search for and access to many datasets in Pyspark.β34Updated 2 years ago
- mlctl is the control plane for MLOps. It provides a CLI and a Python SDK for supporting key operations related to MLOps, such as "model tβ¦β25Updated 3 years ago
- Structural Time Series on US electricity demand dataβ22Updated 4 years ago
- Prune your sklearn modelsβ19Updated 8 months ago
- This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Giβ¦β15Updated 4 years ago
- β18Updated 3 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API πβ53Updated 3 years ago
- Creating a Gradio user interface to predict the sentiment of a tweetβ11Updated 3 years ago
- A few baselines with a standard tabular modelβ38Updated 5 years ago
- machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fastβ15Updated 3 years ago
- How to do data science with Optimus, Spark and Python.β19Updated 5 years ago