evolutionary-intelligence
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PK
Name: Evolutionary-Intelligence
Type: User
Company: CSE, SUSTech
Bio: Evolutionary Intelligence for Learning, Optimization, Modelling/Simulation, and Design (from Theory to Practice).
Location: Shenzhen, China
Blog: https://twitter.com/qi7qi7duan
Evolutionary-Intelligence's Projects
Implementation of CVPR 2022 paper "On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles" https://arxiv.org/abs/2201.05057
Atomistic Evolution
Repo relevant to Rose, Johnson et al
Code accompanying Gómez-Nava et al. (2023, Nature Physics)
A library for automatically designing metaheuristic optimization algorithms in MATLAB.
A (actively updated) Paper List for Bayesian Optimization (BO).
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
Open source demo for the paper Learning to Score Behaviors for Guided Policy Optimization
Just for Fun on Evolution...
A comparison of Black Box optimizers for source separation and RNN
[IJCAI 2023] Black-box Prompt Tuning for Vision-Language Model as a Service
Benchmarking Canonical Evolution Strategies for Playing Atari
Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method
A python package for consensus-based optimization
Codes for some of my co-authored journal/conference papers
Python package to generate Gaussian (1/f)**beta noise (e.g. pink noise)
Comparisons of pypop versus other open-source implementations.
A Julia package for consensus-based optimisation
A (actively updated) paper list of Coordinate Descent (CD), aka Alternative Optimization, which has an interesting relationship with Expectation Maximization (from an optimization viewpoint).
An open-source C library for POPulation-based OPtimization (e.g., evolutionary computation, swarm intelligence, meta-heuristics).
Distributed Low-Memory Matrix Adaptation (D-LM-MA) Evolution Strategy.
Distributed Cooperative Coevolution (powered by LM-CMA/CMA-ES under the recently proposed multilevel learning framework).
The Differentiable Cross-Entropy Method
Benchmarks for Model-Based Optimization
Discrete Optimization is a python library to ease the definition and re-use of discrete optimization problems and solvers.