aj-perry Goto Github PK

02456deeplearning_scientificmachinelearning

affine-parametric-opinf

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

aj-perry.github.io

Research

applications-of-svm-image-processing

arxiv.github

Volunteer Software Contribution

chat-gpt_evals

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

computernetworktheory

This is the lab course work for theoretical lectures for computer network including package capture and question answering.

cv

data-science-bias-guideline

A simple bias guideline for data scientists.

data-science-books-1

description_probit_modeling

diffeqparamestim.jl

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

diffeqr

Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem

eartharxiv.github.io

Companion website to the EarthArXiv preprint system

flux.jl

Relax! Flux is the ML library that doesn't make you tensor

gelus

A smoother activation function (undergrad code)

getipintel

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.

learning-python-physics-informed-machine-learning-pinns-deeponets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

leo_cloan

masseyramanujan

alternative ideas for the ramanujan machine

metadata-causal-inference-of-concept-drifts-in-statistical-relational-machine-learning-predictive-a

METADATA CAUSAL INFERENCE OF CONCEPT DRIFTS IN STATISTICAL- RELATIONAL MACHINE LEARNING: PREDICTIVE ANALYTICS USING GRAPH THEORY METHODS IN CYBER-DEFENSE

mitiq

Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.

ml-from-scratch

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.

moleculargnn_smiles

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.

multiagentadvisorqlearning

openai-cookbook

Examples and guides for using the OpenAI API

ordinarydiffeq.jl

High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

pcalg

Casual Inference using R

physics-informed-machine-learning

Artificial Neural Nets that incorporate Rigorous Coupled Wave Analysis into Loss Function

pinn-notebooks

This is a repository for my Physics-Informed Neural Networks, designed for solvment of differential equations