Pinned Repositories
alcobra
A collection of machine learning tools for C. For those interested, the implementations are matrix-based to simplify translation of mathematical formulas into code. For those who want a simple, fast, and minimal library they can use the Alcobra API in their own projects.
Ascii-RogueLike
A short Rogue-Like game
c-reference
Just some common exercises implemented in C
cds-onboarding-general-ML-fundamentals
cds-onboarding-gradient-descent-loss-functions
This repository contains materials regarding the gradient descent algorithm for optimization and loss functions. This material is intended to be delivered on April 16, 2022 at a Cornell Data Science onboarding presentation, but is sufficient as standalone material nonetheless.
cds-onboarding-how-to-use-data
This repository contains the associated code for a short talk given on 2021-10-23 to new members of the Cornell Data Science project team. It demonstrates how to read data from a .csv file, how to pre-process data by normalization, and how to use the data in a machine learning model.
environments
A series of configuration scripts and settings to make my life a lot easier when switching, modifying, or moving devices.
mysite-2.0
My new and updated personal website!
MathSearch
A next generation search engine for researchers that supports searching with LaTeX math script.
ProjectX-2021
This is the GitHub repository for Cornell's 2021 ProjectX team. Members: Alexander Wang, Jerry Sun, Kevin Zhou, Kaitlyn Chen, Edward Gu, Melinda Fang.
awang9999's Repositories
awang9999/alcobra
A collection of machine learning tools for C. For those interested, the implementations are matrix-based to simplify translation of mathematical formulas into code. For those who want a simple, fast, and minimal library they can use the Alcobra API in their own projects.
awang9999/mysite-2.0
My new and updated personal website!
awang9999/Ascii-RogueLike
A short Rogue-Like game
awang9999/c-reference
Just some common exercises implemented in C
awang9999/cds-onboarding-general-ML-fundamentals
awang9999/cds-onboarding-gradient-descent-loss-functions
This repository contains materials regarding the gradient descent algorithm for optimization and loss functions. This material is intended to be delivered on April 16, 2022 at a Cornell Data Science onboarding presentation, but is sufficient as standalone material nonetheless.
awang9999/cds-onboarding-how-to-use-data
This repository contains the associated code for a short talk given on 2021-10-23 to new members of the Cornell Data Science project team. It demonstrates how to read data from a .csv file, how to pre-process data by normalization, and how to use the data in a machine learning model.
awang9999/environments
A series of configuration scripts and settings to make my life a lot easier when switching, modifying, or moving devices.
awang9999/Grid-Sprite
A save/load system for some squares
awang9999/Java-Final-Project
Created by: Alexander and Ben
awang9999/mlplayground
Implementation of basic ML algorithms
awang9999/mysite
My personal website
awang9999/nn-sensitivity-research
awang9999/playground
A playground for various programming related things
awang9999/RP-Portable-NAS
An attempt at making a personal cloud device with the form factor of a Raspberry Pi 4.
awang9999/us-earnings
A full-stack implementation of a service that notifies users when their interested companies in the NYSE will release their earnings reports
awang9999/XOR-Neural-Network-C
An implementation of a simple neural network that replicates a fuzzy XOR behavior.