ksalama / tfx-workshopLinks
Machine Learning with TensorFlow Extended (TFX) Pipelines
☆13Updated 2 years ago
Alternatives and similar repositories for tfx-workshop
Users that are interested in tfx-workshop are comparing it to the libraries listed below
Sorting:
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 11 months ago
- Example project with a complete MLOps cycle: versioning data, generating reports on pull requests and deploying the model on releases wit…☆49Updated 4 years ago
- ☆66Updated 7 months ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last month
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 3 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆43Updated 4 years ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆104Updated 2 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 6 years ago
- Learn how to create reliable ML systems by testing code, data and models.☆88Updated 3 years ago
- Serving TensorFlow models with TensorFlow Serving☆43Updated 3 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- 🔍 Minimal examples of machine learning tests for implementation, behaviour, and performance.☆265Updated 3 years ago
- ☆21Updated 2 years ago
- Codes, scripts, and notebooks on various aspects of transformer models.☆27Updated 2 years ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆79Updated 2 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 10 months ago
- 🛠 Python project template with unit tests, code coverage, linting, type checking, Makefile wrapper, and GitHub Actions.☆151Updated last year
- Neural networks in pandas☆51Updated 3 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆116Updated 2 years ago
- Hands-on Training for Recommender Systems☆11Updated 4 years ago
- Production-Ready Applied Deep Learning☆91Updated last month
- Deep Learning Projects on TensorFlow and Keras☆20Updated last year
- ☆31Updated 6 years ago
- A MLOps platform using prefect, mlflow, FastAPI, Prometheus/Grafana und streamlit☆97Updated 3 years ago
- Reference code base for ML Engineering, Manning Publications☆132Updated 4 years ago
- Metaflow tutorials for ODSC West 2021☆64Updated 4 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆36Updated 2 years ago