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NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Leveraging LLMs to design and optimize nanophotonics
Optimization and inverse design of photonic crystals using deep reinforcement learning
The code base for Generalizable Dose Prediction for Heterogenous Multi-Cohort and Multi-Site Radiotherapy Planning (GDP-HMM) challenge at AAPM 2025
Agent-based LLM modeling of mechanics problems
MetaOpenFOAM: an LLM-based multi-agent framework for CFD
Combining Evolutionary Algorithms and deep Reinforcement Learning
Research Papers and Code Repository on the Integration of Evolutionary Algorithms and Reinforcement Learning
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Multi-Objective Reinforcement Learning algorithms implementations.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
NeuroEvolution Optimization with Reinforcement Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
A new LLM solution for RTL code generation, achieving state-of-the-art performance in non-commercial solutions and outperforming GPT-3.5.
Using Large Language Models for Hyperparameter Optimization
Production-ready platform for agentic workflow development.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Get up and running with OpenAI gpt-oss, DeepSeek-R1, Gemma 3 and other models.
《剑指 Offer》 Python, Java, C++ 解题代码,LeetBook《图解算法数据结构》配套代码仓
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新,English version in translation
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