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.
DataStructures_implementation
Implementation of various Data Structures and some Algorithms
Development-Environment-Template
Developing a reusable development environment template for
Falcon40B-Chatbot-Demo
Welcome to the Falcon 40B Chatbot Demo repository! This project demonstrates how to utilize the Falcon-40B-Instruct model from Hugging Face in combination with the LangChain framework. The code showcases how to set up and interact with the model, while also integrating it into the LangChain library for advanced conversational capabilities.
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.
mlops-templates
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
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
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch