mattmcclean / sagemaker-reinvent-chalktalk-2018
Example project showing how you can use your fast.ai based scripts to let Amazon SageMaker perform the training and hosting of your models. Was used as part of the AWS re:Invent 2018 Chalk Talk
☆14Updated 6 years ago
Alternatives and similar repositories for sagemaker-reinvent-chalktalk-2018
Users that are interested in sagemaker-reinvent-chalktalk-2018 are comparing it to the libraries listed below
Sorting:
- Build a Docker container to build, train and deploy fast.ai based Deep Learning models with Amazon SageMaker☆13Updated 6 years ago
- Lightweight tool to deploy PyTorch models to AWS Lambda☆125Updated 3 years ago
- Research repo for code that may or may not end up in fastai3☆50Updated 3 years ago
- Merging image, tabular and text data in a neural network with fastai☆52Updated 2 years ago
- A few baselines with a standard tabular model☆38Updated 4 years ago
- Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint☆73Updated 3 years ago
- Repo for work on deep learning for tabular data☆15Updated 5 years ago
- Fast.AI course complete docker container for Paperspace and Gradient☆47Updated 6 years ago
- Exercises for FastAI v2☆19Updated 4 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- How to use tensorboard in fastai☆21Updated 5 years ago
- A Python package to allow fastai to run on TPUs using Pytorch-XLA☆36Updated 2 years ago
- Flask webapp for coconut tree detector☆24Updated 7 years ago
- A list of extensions for the fastai library.☆160Updated 4 years ago
- ML model serving app based on APIs☆72Updated 3 years ago
- Natural language processing & computer vision models optimized for AWS☆141Updated 2 years ago
- Notebooks for Fastai Viusal Guide☆25Updated 2 years ago
- Fit your tensorflow model using fastai and PyTorch☆91Updated 5 years ago
- GitHub Action That Retrieves Model Runs From Weights & Biases☆60Updated 3 years ago
- An open source package that evaluate the fairness of a Neural Network using a fairness metric called p% rule.☆18Updated 6 years ago
- Example custom model image trainable and distributable via AWS SageMaker☆35Updated last year
- ☆57Updated 2 years ago
- The fast.ai data ethics course☆16Updated 2 years ago
- ☆13Updated 6 years ago
- The ntentional blog - a machine learning journey☆23Updated 2 years ago
- My experiments and progress within various fastai applications☆56Updated 5 years ago
- MNIST classifier implementation with PyTorch Lightning on Amazon SageMaker☆24Updated 2 years ago
- ☆66Updated 5 years ago
- Strategies to deploy deep learning models☆27Updated 6 years ago
- 🎯 kettle is a CLI tool for creating and deploying cloud functions & docker containers for machine learning☆32Updated 2 years ago