ansible-prac

aws-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

gpt2_in_cloud

Deploy GPT-2 PyTorch model with HuggingFace pretrained weights to AWS SageMaker

guarded-thoughts-webapp

houseapp-backend

image-captioning-sagemaker

Deploy Huggingface Image-to-text pretrained model on AWS Sagemaker with Flask-based webapp deployed on AWS Elastic Beanstalk

mnist_sagemaker

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

notes-app-backend

A scalable and secure backend service for managing notes. Built with Express and MongoDB, it supports user authentication through Google OAuth and provides RESTful API endpoints for creating, retrieving, and deleting notes. The application is containerized using Docker and can be deployed to AWS ECS for robust, cloud-based operation.

notes-app-frontend

Frontend for the Notes App: A React-based web application allowing users to seamlessly create, manage, and authenticate notes. Featuring Google authentication and an intuitive UI.

notesapp-terraform-infra

pytorch_transformer

Transformer from scratch

shiny_app_prac

student_living_guide_dash

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

twitter-persona

Project for DSCI-524

yurui-feng