Chris Fregly's repositories
aws-step-functions-data-science-sdk-python
Step Functions Data Science SDK for building machine learning (ML) workflows and pipelines on AWS
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
amazon-sagemaker-keras-text-classification
A step-by-step guide that shows how to do text classification by run training/inference for a custom model in Amazon SageMaker
awesome-sagemaker
A curated list of references for Amazon SageMaker
aws-codeguru-profiler-demo-application
Example application demonstrating the features of Amazon CodeGuru Profiler
aws-data-wrangler
Pandas on AWS
eks-workshop
AWS Workshop for Learning EKS
tensorflow
Computation using data flow graphs for scalable machine learning
tensorflow-mnist-tutorial
Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
amazon-comprehend-custom-entity
Notebooks and recipes for creating custom entity recognizer for Amazon comprehend.
client-python
Official Python client library for kubernetes
faas
OpenFaaS - Serverless Functions Made Simple for Docker & Kubernetes
guild-python
Rewrite of Guild AI in Python
guild-python-1
Active repository for Guild command line tools
incubator-superset
Apache Superset (incubating) is a modern, enterprise-ready business intelligence web application
katib
Repository for hyperparameter tuning
kops
Kubernetes Operations (kops) - Production Grade K8s Installation, Upgrades, and Management
PersonalizePOC
POC In a box guide material for Amazon Personalize