aj-perry Goto Github PK
Name: Karriem AJ Perry
Type: User
Bio: Artificial Intelligence researcher in theoretical probability, data analytics, and supervised/unsupervised relational machine learning.
Location: Washington, DC
Name: Karriem AJ Perry
Type: User
Bio: Artificial Intelligence researcher in theoretical probability, data analytics, and supervised/unsupervised relational machine learning.
Location: Washington, DC
Source code for the paper "Non-intrusive reduced-order models for parametric partial differential equations via data-driven operator inference" by McQuarrie, Khodabakhshi, and Willcox
Research
Volunteer Software Contribution
Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.
This is the lab course work for theoretical lectures for computer network including package capture and question answering.
A simple bias guideline for data scientists.
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Companion website to the EarthArXiv preprint system
Relax! Flux is the ML library that doesn't make you tensor
A smoother activation function (undergrad code)
IP Intelligence is a free Proxy VPN TOR and Bad IP detection tool to prevent Fraud, stolen content, and malicious users. Block proxies, VPN connections, web host IPs, TOR IPs, and compromised systems with a simple API. GeoIP lookup available.
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
alternative ideas for the ramanujan machine
METADATA CAUSAL INFERENCE OF CONCEPT DRIFTS IN STATISTICAL- RELATIONAL MACHINE LEARNING: PREDICTIVE ANALYTICS USING GRAPH THEORY METHODS IN CYBER-DEFENSE
Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
The code of a graph neural network (GNN) for molecules, which is based on learning representations of r-radius subgraphs (i.e., fingerprints) in molecules.
Examples and guides for using the OpenAI API
High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Casual Inference using R
Artificial Neural Nets that incorporate Rigorous Coupled Wave Analysis into Loss Function
This is a repository for my Physics-Informed Neural Networks, designed for solvment of differential equations
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.