Brooks.ideas's Projects
Image classifications using BayesianConvoluLonal Neural Networks (BCNNs)
Complete open source web conferencing system.
A simple python class that determines a book lover. Covered with the proper unit tests.
This is my Portfolio site built to describe my professional career and the projects I have worked on.
Config files for my GitHub profile.
Experimental project building a Language Model from scratch inspired by Generative Pre-trained Transformers (GPT). Architecture.
This is raw Vue project just for practicing the basics of Vue.js
Contains agendas for Live Sessions, Python code files
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
A Python Script to find the computer node that the Distributed denial of Service Attack.
Train a neural network on the Fashion-MNIST dataset using the PyTorch framework and the Adam optimizer.
UVA | SDS | DS 5100 | Programming for Data Science | Fall 2022 | Online
Team 8's repository features frontend development using D3 and Vue.js with Tailwind CSS for styling. We aim to create time-series, state-by-state, and third-party comparison visualizations. Data is fetched reactively from AWS Lambda and queried via AWS Athena, with API Gateway for content retrieval.
Companion repo to an Ethereum/Solidity course on Udemy
Repository for Fall 2023 class activities
The project involves deploying a data visualization solution using AWS services. Cleaned data resides in an S3 bucket, accessible to a Lambda function written in Python. This function fetches Parquet files from S3 and converts them into dataframes. These dataframes are then exposed through an API Gateway.
Visit the World with one click. Simple Project implemented with C# and .NET
Graphql typescript Prisma Codegen Apolloserver
A really simple end-user interface for your BigBlueButton server.
This is a dashboard to analyze the **General Social Survey (GSS)** data that is a biennial survey conducted by the National Opinion Research Center (NORC) at the University of Chicago.
This is a private repo. It includes functionalities to fetch, process, and analyze these works using natural language processing and embedding techniques. It leverages external APIs to extract information, such as referenced and related works, and utilizes machine learning models for document embeddings and clustering.
A simple laravel project for storing and managing Ideas for Users
Scripts for launching killbill in the cloud
A magic square is a grid containing the numbers in the forward and backward main diagonals, all add up to the same number.
A machine learning course using Python, Jupyter Notebooks, and OpenML
Built with Node , Docker , React , MySQL , Sequelize and GraphQL
C++ KNIGHT BACKTRACKING Problem Solution
Composable financial contracts with Monte Carlo valuation