余顯漁Shem's repositories
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.
hwnum_model
(Practicing project) Predict hand wrote number. Using MNIST dataset as training set.
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.