rflperry Goto Github PK

553.738_final

High-Dimensional Approximation, Probability, and Statistical Learning Final Project

ai_scholars

Location for file sharing

calibration

dd_exp

dl-scsp

EN.553.667 - Deep Learning for Discrete Optimization Project

double_descent

elbow_inference

Post-selection inference on the PCA proportion of variance explained.

geometric-certificates

Geometric Certifications of Neural Nets

graspologic

Python package for graph statistics

hyppo

Python package for multivariate hypothesis testing

jmlr-style-file

LaTeX style file for the Journal of Machine Learning Research

lollipop

Linear Optimal Low Rank Projection

math_tutorials

mvlearn

Python package for multi-view machine learning

nd_ed

Collection of educational resources. Primarily focused on skills that are helpful in the NeuroData lab or the Neuro Data Design course at Johns Hopkins University.

ood-workshop

pgm_final

Machine Learning: Data to Models final project

pong-with-policy-gradients

Code for an intro to RL workshop. You'll be training a simple agent to play pong using policy gradients. Adapted from http://karpathy.github.io/2016/05/31/rl/

pot

POT : Python Optimal Transport

prelim

2023 prelim figure replication

proglearn

progressive learning

recipes

Recipe ingredient network analysis

rflperry.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

scikit-learn

scikit-learn: machine learning in Python

socialgraphs2018

This is the repo associated with the class "Social Graphs and Interactions" at the Technical University of Denmark

sparse_shift

strava_route_map

uncertainty-forest

Conditional probability, conditional entropy, and mutual information estimation in Python. https://arxiv.org/abs/1907.00325

visualizations

A hosting site for all visualizations meant to share at https://rflperry.github.io/visualizations/

yelp_challenge2018