maoyao666

maoyao666's Stars

• CGAL/cgal-swig-bindings

  CGAL bindings using SWIG

  Language:C++34893

• jpcy/xatlas

  Mesh parameterization / UV unwrapping library

  Language:C++2.1k221

• USTC-GCL-F/EvoDevelop

  41

• viblo/pymunk

  Pymunk is a easy-to-use pythonic 2d physics library that can be used whenever you need 2d rigid body physics from Python

  Language:Python930190

• nicopietroni/parafashion

  Language:C++468

• secnot/rectpack

  Python 2D rectangle packing library

  Language:Python457103

• pybox2d/pybox2d

  2D Game Physics for Python

  Language:Python47992

• kmammou/v-hacd

  Automatically exported from code.google.com/p/v-hacd

  Language:C++1.4k263

• WestXu/no_fit_polygon_py3

  py3 version of liangxuCHEN / no_fit_polygon

  Language:Python113

• kallaballa/libnfpmk

  Implementation of a robust no fit polygon generation in a C++ library. Based on minkowski sums

  Language:C++92

• Naimad1CZ/Online2DIrregularBPP

  My implementation of online 2D irregular BPP algorithm with state-of-the-art picking policy minimal surrounding waste.

  Language:Python127

• tamasmeszaros/libnest2d

  2D irregular bin packaging and nesting library written in modern C++

  Language:C++313101

• Papooch/WasteOptimiser

  Irregular shape nesting software for waste material optimisation in 2D machining.

  Language:Python297

• kallaballa/libnfporb

  Implementation of a robust no-fit polygon generation in a C++ library using an orbiting approach

  Language:C++10632

• libigl/libigl-python-bindings

  libigl python bindings

  Language:C++31762

• sven1977/rllib_tutorials

  Ray RLlib tutorial material

  Language:Jupyter Notebook11433

• datawhalechina/llm-cookbook

  面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

  Language:Jupyter Notebook11.8k1.5k

• UX-Decoder/Segment-Everything-Everywhere-All-At-Once

  [NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

  Language:Python4.4k397

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python33.5k2.5k

• skoch9/meshplot

  Plot 3D triangle meshes

  Language:Python14837

• liangxuCHEN/no_fit_polygon

  2d irregula packing SVGNesting

  Language:Python5415

• GerardMaggiolino/Gym-Medium-Post

  Basic OpenAI gym environment.

  Language:Python3110

• mpSchrader/gym-sokoban

  Sokoban environment for OpenAI Gym

  Language:Python32876

• DLR-RM/rl-baselines3-zoo

  A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

  Language:Python2.1k515

• DLR-RM/stable-baselines3

  PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

  Language:Python9k1.7k

• Juzhan/TAP-Net

  TAP-Net: Transport-and-Pack using Reinforcement Learning

  Language:Python5811

• Thinklab-SJTU/awesome-ml4co

  Awesome machine learning for combinatorial optimization papers.

  Language:Python1.7k201

• albert-espin/knapsack-packing

  Evolutionary Algorithm for the 2D Packing Problem combined with the 0/1 Knapsack Problem (Master Thesis)

  Language:Python5618

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python55.7k5.7k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47.4k5.6k