Emerald Henry's repositories
Full_Agent_build
Comprehensive agents and an interactive UI built using conventional web dev stack.
ML-FastAPI-Microservice
This repo contains a full fledged ML based microservice. Utilizes the FastAPI framework for end point mapping. Deployed using AWS ECR and ECS.
ML_Azure_microservice
Deployed a Machine Learning Microservice using Azure container registry and container app.
NLP_Text_summarization_huggingface
This repository contains the source code for a Text Summarization Application that utilizes a Hugging Face model and Gradio web interface. Continuous integration is set to Hugging Face Spaces.
SQL_Database_App_FastAPI_Docker
This repository contains a FastAPI app with SQL database integrated. I have also included additional files to guide working with databases using mysql-connector and working with docker database image.
Tutorials__MLOps_ML_Data_Science
In this repository, I develop tutorial notebooks on Machine Learning, MySQL, DSA with python, Shell, FastAPI, Docker, CI/CD and R for data Analysis.
ViT_Classification_App
This app is based on Vision Transformer for food image classification. It uses the Gradio web interface.
azure-files-samples
This repository contains supporting code (PowerShell modules/scripts, ARM templates, etc.) for deploying, configuring, and using Azure Files.
C-and-Cpp
C and Cpp plus DSA
DataStructures_implementation
Implementation of various Data Structures and some Algorithms
Development-Environment-Template
Developing a reusable development environment template for
Extended-Mircograd-Framework
Extending the Micrograd Framwork developed by Andrej Kaparthy. will be used to run standard ML methods such as MLPs, LSTM, RNN, CNN and Transformers
FastAPI_App
This app is a robust FastAPI application that explores numerous methods native to pydantic and FastAPI
Graph-Neural-Networks-Course
Hands-On Graph Neural Networks Using Python, published by Packt
henrii1
Config files for my GitHub profile.
henrii1.github.io
This is a static website
LLM-Main
Practical course about Large Language Models.
llm-streamlit-examples
Streamlit LLM app examples for getting started
LLM-sub
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
narratorgpt
David Attenborough narrates your life
openai_assistant_basic
personal trainer assistant with Assistants API
RoBERTa_App
This app is based on RoBERTa for sentiment analysis. The Flask framework is used as the Application Programming Interface.
udlbook
Understanding Deep Learning - Simon J.D. Prince