Chee Yeo's repositories
neural-machine-translation
A simple neural machine translation model built using Keras
content_based_image_retrieval_portfolio_example
An example of building a CBIR (Content Based Image Retrieval) system using Tensorflow2
tfod_rcnn_example
Example of training Faster-RCNN model with TFOD API
transfer_learning_portfolio_example
Building a image classifier on the flowers 17 dataset using VGG 16 pretrained with fine tuning
deep_learning_computer_vision
Exercises from Deep Learning For Computer Vision
face_recognition
Example of building a face recognition model in Keras and Tensorflow
grpc_aws_alb_example
Running gRPC service on AWS Fargate + ALB
learn_more_python_the_hard_way
Tutorial exercises from Learn more python the hard way
mxnet_serverless_inference
An example of building and running an MXNet container as a Lambda function for inference.
python_flask_grpc_example
Simple GRPC, FLASK, DOCKER example
transfer_learning_portfolio_example_2
Applying transfer learning through feature extraction with VGG16 to train a classifier to perform image autocorrection
SamMed2D_Custom
My implementation of SAM Med2D model based on its paper
AWS_S3_PIPES
Example of building a go lang CLI client to interact with AWS S3 pipe mode
bash_script_tutorials
Learning bash scripting
cheeyeo.github.io
Cheeyeo website
ginexample
Simple Go lang web app using Gin and Mongodb
machine_learning_project_template
A template on presenting ML projects
pragaipractice
Practice repo for deploying to AWS Codebuild
PSPNET_tutorial
Example of building a PSPNet using pytorch for semantic segmentation
py-docker-aws-example-project
Automated testing and deployment of a simple Flask-based (RESTful) micro-service to a production-like environment on AWS, using Docker containers and Travis-CI.
python_flask_gae_example
Simpe example of running a FLASK app on Google App engine
python_oop
Exercises in OOP with Python
self_attention_gan
Example implementation of a self attention GAN
tensorflow_serving_example
Example FLASK API app which interfaces with the tensorflow serving API
UNET_tutorial
Example of building a UNET in torch for semantic segmentation