blbadger

2dattractors

2D dynamical attractors: Henon (forward and reverse), Clifford, and grid map.

threebody

Simulation of trajectories defined by Newton's laws for two or three bodies in space.

small-language-models

Code for the paper 'Small Language Models for Tabular Data'

blbadger.github.io

Project pages: dynamics, analysis, logic, deep learning, and more.

maskedmixers

Code for the paper 'Masked Mixers for Language Generation and Retrieval'

fractalgeoms

Generate fractals with turtle. Primitive recursive and L-system generators and a dimension calculator

logisticmap

Programs to explore the logistic map with python

nnetworks

Deep learning model implementations and interpretations.

polyroots

Programs for root finding in the complex (Argand) plane. Secant, Halley's, and Newton's methods.

depth-representation

Code for the paper 'Depth and Representation in Vision Models'

generative-models

juliabrots

Programs for exploring Julia and Mandelbrot sets

learning-generality

quiverplots

short scripts for making 2D vector plots for visualizing an equation

3Dattractors

accelerate

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

adversarial-theory

Code for the paper 'Adversarial Examples from Dimensional Invariance'

dash_test

test for choropleth plots in python Dash with public data

hello-world

gihub.init

jenerator

Web app to generate Julia sets given user-specified inputs.

miscellaneous_fun_projects

Useful mathematical and word processing programs along with some puzzle solvers.

nielsen_deepsolns

Solutions to a few of the problems in Nielsen's text: early stopping, momentum-based optimization, L1 regularization, and minibatch computational parallelization.

peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

pfinder

App that finds roots of polynomial equations in the complex plane and plots convergence rate.

safetensors

Simple, safe way to store and distribute tensors

tmachines

Turing machines and busy beavers demonstrating computable and uncomputable functions.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.