itsderek23 / lessons
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
☆12Updated 4 years ago
Alternatives and similar repositories for lessons:
Users that are interested in lessons are comparing it to the libraries listed below
- ☆93Updated 3 years ago
- This sample demonstrates how to setup an Amazon SageMaker MLOps end-to-end pipeline for Drift detection☆58Updated last year
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆97Updated 6 months ago
- Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many de…☆69Updated 7 months ago
- Amazon SageMaker MLOps deployment pipeline for A/B Testing of machine learning models.☆43Updated 3 years ago
- CLI for building Docker images in SageMaker Studio using AWS CodeBuild.☆56Updated 2 years ago
- Docker images that replicate the Amazon SageMaker Notebook instance.☆58Updated 3 years ago
- Example custom model image trainable and distributable via AWS SageMaker☆36Updated last year
- A serverless framework for continuous machine learning pipeline automation☆14Updated 4 years ago
- Sample Jupyter Notebooks for Amazon Augmented AI (A2I)☆71Updated last year
- Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint☆74Updated 3 years ago
- Simple template showing how to set up docker for reproducible data science with Jupyter notebooks.☆22Updated 7 months ago
- SageMaker custom deployments made easy☆58Updated last year
- Tools to run Jupyter notebooks as jobs in Amazon SageMaker - ad hoc, on a schedule, or in response to events☆142Updated last year
- A recipe of SageMaker Ground Truth Lambdas to be used for creating labeling jobs with custom task type☆25Updated 2 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆104Updated 2 years ago
- Hosting code-server on Amazon SageMaker☆54Updated last year
- Open innovation with 60 minute cloud experiments on AWS☆87Updated 9 months ago
- This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use th…☆131Updated last month
- SageMaker specific extensions to TensorFlow.☆54Updated 6 months ago
- ☆22Updated 5 years ago
- A project template for developing BYOD docker images for use in Amazon SageMaker.☆19Updated 5 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.☆68Updated 10 months ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- End to end Machine Learning with Amazon SageMaker☆42Updated 11 months ago
- This workshop demonstrates two methods of machine learning inference for global production using AWS Lambda and Amazon SageMaker☆57Updated 4 years ago
- ☆33Updated 10 months ago
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 3 years ago
- AWS CloudFormation and SAM templates for machine learning inference with AWS Lambda.☆19Updated 4 years ago