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Evolutionary-Intelligence's Projects

advtrajectoryprediction icon advtrajectoryprediction

Implementation of CVPR 2022 paper "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles" https://arxiv.org/abs/2201.05057

autoopt icon autoopt

A library for automatically designing metaheuristic optimization algorithms in MATLAB.

benchmark-models-petab icon benchmark-models-petab

A collection of mathematical models with experimental data in the PEtab format as benchmark problems in order to evaluate new and existing methodologies for data-based modelling

bgrl icon bgrl

Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization

bpt-vlm icon bpt-vlm

[IJCAI 2023] Black-box Prompt Tuning for Vision-Language Model as a Service

cboglobalconvergenceanalysis icon cboglobalconvergenceanalysis

Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method

cbxpy icon cbxpy

A python package for consensus-based optimization

codes icon codes

Codes for some of my co-authored journal/conference papers

colorednoise icon colorednoise

Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)

coordinatedescent icon coordinatedescent

A (actively updated) paper list of Coordinate Descent (CD), aka Alternative Optimization, which has an interesting relationship with Expectation Maximization (from an optimization viewpoint).

cpop77 icon cpop77

An open-source C library for POPulation-based OPtimization (e.g., evolutionary computation, swarm intelligence, meta-heuristics).

d-lm-ma icon d-lm-ma

Distributed Low-Memory Matrix Adaptation (D-LM-MA) Evolution Strategy.

dcc icon dcc

Distributed Cooperative Coevolution (powered by LM-CMA/CMA-ES under the recently proposed multilevel learning framework).

dcem icon dcem

The Differentiable Cross-Entropy Method

discrete-optimization icon discrete-optimization

Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.

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