elleobrien / automatic_testing
☆21Updated last year
Alternatives and similar repositories for automatic_testing:
Users that are interested in automatic_testing are comparing it to the libraries listed below
- Best practices for engineering ML pipelines.☆35Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 3 months ago
- Slides and notebook for the workshop on serving bert models in production☆25Updated 2 years ago
- This is code depository for my upcoming session. Will update details post the session☆40Updated 2 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- ☆18Updated 3 years ago
- This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…☆21Updated 2 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Machine Learning with TensorFlow Extended (TFX) Pipelines☆13Updated last year
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆44Updated 5 years ago
- A repository that showcases how you can use ZenML with Git☆69Updated 8 months ago
- ☆33Updated last year
- Creating a Gradio user interface to predict the sentiment of a tweet☆12Updated 3 years ago
- This repository contains sample code, which is used for a MLOps Workshop☆26Updated last year
- Using a feature store to connect the DataOps and MLOps workflows to enable collaborative teams to develop efficiently.☆56Updated 2 years ago
- Tensorflow object detection api in single line☆12Updated 3 years ago
- Deploy Machine Learning Pipeline on AWS Fargate☆13Updated 2 years ago
- Deep Learning Projects on TensorFlow and Keras☆20Updated 10 months ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆34Updated last year
- ☆15Updated last year
- An example MLFlow project☆48Updated 3 months ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆83Updated 2 years ago
- demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions☆50Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- ☆16Updated 4 years ago
- A neural network hyper parameter tuner☆30Updated last year
- ☆23Updated 2 years ago
- Strategies to deploy deep learning models☆27Updated 6 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- Content for Applied ML Workshop @ DataHack Summit 2019☆25Updated 5 years ago