justinmeiners/why-train-when-you-can-optimize
Learn multi-variable optimization by creating a drawing assistant. No deep learning required!
No commits in the last 6 months.
Stars
31
Forks
1
Language
Makefile
License
—
Category
Last pushed
Nov 03, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/justinmeiners/why-train-when-you-can-optimize"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
jolars/sortedl1
Python package for Sorted L-One Penalized Estimation (SLOPE)
gugarosa/opytimizer
🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.
hiroyuki-kasai/SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20
SENATOROVAI/L-BFGS-B-solver-course
Linear regression with the LBFGSB (Limited-memory Broyden-Fletcher-Goldfarb-Shanno BFGS) solver...
loeweX/Forward-Forward
Reimplementation of Geoffrey Hinton's Forward-Forward Algorithm