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

明医 (MING)：中文医疗问诊大模型

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…

Single Objective Bound Constrained Benchmark

CEC-国际进化计算会议-测试函数 CEC Benchmark Functions

Distributed Evolutionary Algorithms in Python

Python implementation of CMA-ES

Minimal PyTorch Library for Natural Evolution Strategies

CMA-ES with a global linear-quadratic surrogate model

Numerical Black-Box Optimization Benchmarking Framework

A highly efficient implementation of Gaussian Processes in PyTorch

3 physical problems + multiple ML architectures benchmarking

constrained/unconstrained multi-objective bayesian optimization package.

Multi-objective Bayesian optimization

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

A framework for single/multi-objective optimization with metaheuristics

nsga2 and MOEA/D

Physical Symbolic Optimization

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