ryfeus / Serverless-Deep-Learning-with-TensorFlow-and-AWS-LambdaLinks
Serverless Deep Learning with TensorFlow and AWS Lambda, published by Packt
☆9Updated 6 years ago
Alternatives and similar repositories for Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda
Users that are interested in Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda are comparing it to the libraries listed below
Sorting:
- Serverless Deep Learning with TensorFlow and AWS Lambda, published by Packt☆25Updated 4 years ago
- Configuration with AWS step functions and lambdas which initiates processing from activity state☆119Updated 3 weeks ago
- Practical Deep Learning on the Cloud, published by Packt☆41Updated 2 years ago
- Kaggler TV☆54Updated 5 years ago
- Данный репозиторий содержит мое решение конкурса Data-Science-Bowl-2018☆16Updated 7 years ago
- Build Train and Deploy your own custom container using AWS StepFunctions Data Science SDK☆23Updated 4 years ago
- ☆21Updated 2 years ago
- O'Reilly Katacoda☆56Updated 2 years ago
- Hands-on demonstrations for data scientists exploring SageMaker☆45Updated 2 years ago
- Data Version Control (DVC) tutorial 2. Iris Demo Project☆14Updated 2 years ago
- This repo provides an end-to-end example of using streaming feature aggregation with the Amazon SageMaker Feature Store.☆46Updated 3 years ago
- Repo for work on deep learning for tabular data☆15Updated 5 years ago
- The Second Place Solution of Topcoder: Neptune - Facial Marathon Match☆10Updated 5 years ago
- ☆134Updated last year
- Content for ML REPA MeetUps☆30Updated 5 years ago
- Kubeflow workshop on EKS. Mainly focus on AWS integration examples. Please go check kubeflow website http://kubeflow.org for other exampl…☆98Updated 4 years ago
- CD4AutoML: Continuous Delivery for AutoML with Amazon SageMaker Autopilot and Amazon Step Functions☆13Updated 4 years ago
- Fast and accurate object detection with end-to-end GPU optimization☆25Updated 5 years ago
- Understanding-Clouds-from-Satellite-Images☆23Updated 5 years ago
- Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.☆106Updated 2 years ago
- The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and produc…☆129Updated 4 years ago
- ☆25Updated 4 years ago
- Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshop…☆143Updated 10 months ago
- Sub-Band Decomposition for Deep Networks applied to Time-series (Pytorch)☆16Updated 5 years ago
- A barebones (Distil)BERT pipeline for token classification tasks driven by catalyst☆13Updated 5 years ago
- Open innovation with 60 minute cloud experiments on AWS☆88Updated last year
- The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model pro…☆154Updated 2 weeks ago
- 10 tasks with 3 exercises each based on PyTorch☆106Updated 4 years ago
- Deployment of ML models with Serverless APIs (AWS Lambda) and Docker☆24Updated 4 years ago
- An unstructured set of helper functions☆59Updated 3 years ago