:sunglasses: A curated list of robotics libraries and software
- robotics-libraries
- multibody-dynamics
- simulation
- robotics
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:sunglasses: A curated list of robotics libraries and software
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
POT : Python Optimal Transport
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
Automatic architecture search and hyperparameter optimization for PyTorch
Serve large Qwen models fast on the GPUs you actually own. Qwen3.8-27B on a single 24 GB card with vLLM: 127 tok/s single-user (381 when the answer quotes the prompt), ~1,035 tok/s at 64 concurrent, 150k-262k context. vLLM patches, requant pipeline, benchmarks.
A modular active learning framework for Python
Optax is a gradient processing and optimization library for JAX.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Hyper-parameter optimization for sklearn
Hyperparameter Experiments with TensorFlow and Keras
Spearmint Bayesian optimization codebase
麦当劳省钱点餐助手(麦门精算师)|麦当劳优惠券组合优化 Skill:拉取麦当劳菜单与全部可用优惠券,算出最省的点餐组合,巨无霸套餐 ¥47 → ¥21.9(省 53%)。McDonalds MCP(麦当劳 MCP)coupon optimizer · McDonalds China MCP Server · Agent Skill for WorkBuddy · 麦当劳程序员创意开发大赛参赛作品
MLBox is a powerful Automated Machine Learning python library.
A research toolkit for particle swarm optimization in Python
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
Portfolio optimization with deep learning.
An autoML framework & toolkit for machine learning on graphs.
:camera_flash: Fast batch image resizer and rotator
麦麦省钱助手 —— 基于麦当劳 MCP 的点餐成本优化 Skill。算出当前门店最省钱的点餐方案,并主动提示凑单陷阱。
OpenMDAO repository.
Light-weight camera LiDAR calibration package for ROS using OpenCV and PCL (PnP + LM optimization)