OptimKit: A blissfully ignorant Julia package for gradient optimization
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Updated
Oct 14, 2026 - Julia
OptimKit: A blissfully ignorant Julia package for gradient optimization
Implementation of LION gradient optimizer.
[NeurIPS-W'21] Generative Optimization Nets for Memory-Efficient Data Generation
Research/master thesis project. A differentiable FEM model for vibrations of a Kirchoff-Love plate
JaiLIP: Educational repository on vision-language model jailbreaks via loss-guided image perturbation. Hands-on notebook for beginners in adversarial ML.
Coursework on Introduction to Machine Learning - CS M146
Data → Skills: Gradient-optimized expert knowledge extraction. Invert the ML pipeline — interpretable text skills instead of black-box weights. Inspired by SkillOpt.
N Airports Problem implementation Using Python and Google Colab using gradient optimization
基于NumPy构建的机器学习模型<br>ChEn's Machine Learning model Organized using Numpy
Using GONs to generate hand-written digits.
A codebase for a traffic optimization research project.
Gradient optimization method using exponential damping and second-order discrete derivative for neural networks and multidimensional real functions
MATLAB implementation of weighted DOTCOPS gradient optimization for PRESS-localized edited MRS to reduce out-of-voxel artifacts through coherence transfer pathway suppression.
Python implementation of VERSE (Variable-Rate Selective Excitation) for compressing MRI RF pulses to minimum duration. Based on Hargreaves et al. 2004.
Standalone Python implementation of the Flexible Stochastic Gradient Optimizer (FSGO).
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