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Implementation of "Exponential Natural Evolution Strategies" (xNES) https://arxiv.org/abs/1106.4487
An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730
A Collection of Variational Autoencoders (VAE) in PyTorch.
This repository hosts a simple demonstration of a deep learning approach for the inverse design of patch antennas. The goal is to explore energy-efficient designs and to significantly reduce simula…
CEC-国际进化计算会议-测试函数 CEC Benchmark Functions
Minimal PyTorch Library for Natural Evolution Strategies
CMA-ES with a global linear-quadratic surrogate model
A highly efficient implementation of Gaussian Processes in PyTorch
3 physical problems + multiple ML architectures benchmarking
constrained/unconstrained multi-objective bayesian optimization package.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
A framework for single/multi-objective optimization with metaheuristics
这是物理学公式拟合工具PhySo(Φ-SO)的demo的中文注释项目,帮助需要快速入门此工具的中国科研人员初步熟悉该工具的使用
Replication of "Auto-Encoding Variational Bayes" (Kingma & Welling, 2013)
PyTorch implementation of "Auto-Encoding Variational Bayes", arxiv:1312.6114
Caffe code to accompany my Tutorial on Variational Autoencoders
Code repository for Ensemble Bayesian Optimization
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Sequential model-based optimization with a `scipy.optimize` interface