Google Cloud Platform Deployment Manager bootstrap for GKE. Infrastructure as code for the difficult task of deploying and managing Kubernetes & Google Cloud resources
I’ve been trying to learn more about data science & machine learning recently. Part of the learning process for myself is usually deep diving into interesting projects other people have worked on. I find this very quickly immerses me in …
Containerising PyTorch models in a repeatable way. Deploy OpenAI’s GPT-2 model and expose it over a Flask API. Finally deploy it to GCP repositories and publish it on a k8s cluster using Cloud Run.
Going through the steps required to migrate and host Animal Shelter Manager (ASM3) on Google Cloud. Includes creating and managing a GKE Kubernetes instance and images stored on GCR
Automatic coloring and shading of Dune coloring book using manga-style lineart model from deepcolor. Making use of TensorFlow and CGAN
Containerising PyTorch models in a repeatable way. Deploy OpenAI’s GPT-2 model and expose it over a Flask API. Finally deploy it to AWS Fargate container hosting using CloudFormation.
Generate Fake Facebook conversations using OpenAI’s GPT-2 training model and a large number of your existing facebook message data. Perform training using Amazon SageMaker GPU instances and CloudFormation.
A short kickstart project for working with Open Distro for Elasticsearch in a practical way. Load in podcast data from The Dollop and analyse the data visually using dashboards
Amazon Alexa controller for AWS IoT connected devices. Learn how to safely expose an embedded ESP8266 over MQTT in order to control an RGB LED.
Using Dyson Pure Cool Link python library over MQTT & Serverless framework we implement a simple endpoint to control our Dyson device