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aws-mlops-start-kit

A standardized template for setting up Machine Learning projects on AWS, designed to streamline and unify the MLOps process for data scientists. This repository provides best practices, guidelines, and a structured approach to ensure efficient deployment and management of ML models on the AWS platform.

databricks-devmlops-testsuite

Test suite designed for validating DevOps and MLOps processes on the Databricks platform. Includes integration, deployment, and machine learning workflow tests.

google-sheet-reader

hwnum_model

(Practicing project) Predict hand wrote number. Using MNIST dataset as training set.

learning-resource

m2m100-k8s-inference

This is a language translation service that utilizes the M2M100 model. It operates on Kubernetes and offers a RESTful API, allowing users to translate any language into Japanese through a POST request. The aim of this service is to provide efficient language translation and make effective use of system resources.

mcd-senti

A sentiment analysis project utilizing Kaggle's McDonald's customer reviews dataset. Developed in Kaggle Notebooks and version-controlled via GitHub.

numpy-neural-network

A simple implementation of a neuron using Numpy, designed for educational purposes and foundational understanding of neural networks.

pytorch_practice

Practice for model training by PyTorch.

rag-engine-template

A side project dedicated to understanding and harnessing the potential of LLM in modern AI services. Specifically, implementing a cutting-edge application that allows searching for posts or content in a database using natural language.

rl-playground

Emphasizes the iterative process of working with RL.

work-experience