Name: Camillia Smith Barnes
Type: User
Company: @googlechrome / @chromium
Bio: Google Chrome Privacy Sandbox engineer, mathematician, algo enthusiast, C++/Python coder, AI hobbyist, wearable tech aficionado, bookworm, mosaicist, lapidary
Location: Cambridge, MA, USA
Blog: http://www.cammie.tech
Camillia Smith Barnes's Projects
Fork this template for the 100 days journal - to keep yourself accountable
Elegant HTTP Networking in Swift
Implementation of well-known (and some rare) algorithms, mostly in C++
Instruct-tune LLaMA on consumer hardware
Developing an AngularJS application for a community project with Free Code Camp OKC
Test of asynchronous flask communication with web page.
:sunglasses: Curated list of awesome lists
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
A shoebox in which Pythagoras the Kitty can contemplate the universe.
GPT-3 Chatbot with Long and Short Term Memory and advanced logic built in javascript with openai API - short and long memory, KYC, embeddings, openai, database, flexible, gpt-3.5-turbo, react
The official GitHub mirror of the Chromium source
An extension for Alamofire that converts JSON data into Decodable objects.
Algorithms and data structures for review for coding interview.
Assorted coding problems and solutions
A simple ChatGPT like chat bot that can be run from the command line
Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.
Cracking the Coding Interview 6th Ed. Solutions
my implementation of basic data structures
382 software engineering companies that are easy to apply to
:memo: A text file containing 479k English words for fast search auto-completion / autosuggestion.
Proposal for a strong boundary between a page and its embedded content
A simple python wrapper for Google's Firebase REST API's.
A neural network toolkit for Metal
:books: Freely available programming books
This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.
A complete daily plan for studying to become a Google software engineer.