Generating Pokemon cards using a mixture of StyleGAN and RNN to create beautiful & vibrant cards ready for battle!
Run OpenCV 4.0 on Lambda using Serverless framework. Extract images from scanned documents
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 …
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.
Generating Cat images using StyleGAN on AWS SageMaker. Developing a simple and repeatable Data Science pipeline for Generative Adversarial Network outputs.
Utilise Amazon SageMaker Ground Truth to offload manual data labelling to the Cloud or other members of your organisation.