Giter VIP home page Giter VIP logo

yinjiangjin's Projects

bertviz icon bertviz

Tool for visualizing attention in the Transformer model (BERT and OpenAI GPT-2)

byteps icon byteps

A high performance and general PS framework for distributed training

cmarl_ame icon cmarl_ame

Implementation of ICLR'23 publication "Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication".

corel5k icon corel5k

这是Corel5K图像集,共包含科雷尔(Corel)公司收集整理的5000幅图片,故名:Corel5K,童鞋们可用于科学图像实验:分类、检索等。Corel5k数据集是图像实验的事实标准数据集。请勿用于商业用途。私底下学习交流使用。 Corel图像库是科雷尔(Corel)公司收集整理的较为丰富的图像库涵盖多个主题。Corel图像库由若干个CD组成,每个CD包含100张大小相等的图像,可以转换成多种格式。每张CD代表一个语义主题,例如有公共汽车、恐龙、海滩等。 Corel5k自从被提出用于图像标注实验后,已经成为图像实验的标准数据集,被广泛应用于标注算法性能的比较。Corel5k由50张CD组成,包含50个语义主题。 Corel5k图像库通常被分成三个部分: 4000张图像作为训练集,500张图像作为验证集用来估计模型参数,其余500张作为测试集评价算法性能。使用验证集寻找到最优模型参数后4000张训练集和500张验证集混合起来组成新的训练集。 该图像库中的每张图片被标注1~5个标注词,训练集中总共有374个标注词,在测试集中总共使用了263个标注词。 童鞋们自己去提取相关低层视觉特征:Rgb Lab Hsv Sift Gist HOG等等。 童鞋们完成 svm knn adaboost 逻辑回归 随机森林 mimlsvm mimlknn mimlboost 自定义算法 等等多类与多标签实验吧。Go, ...

decision_tree icon decision_tree

在西瓜数据集2.0上基于信息增益准则生成决策树

deeprl icon deeprl

【深度强化学习社区】一个资料与学习内容最全的服务平台

dima-pg icon dima-pg

an implementation for DIMA-PG with tensorflow (MAYBE)

gat icon gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

graphsage icon graphsage

Representation learning on large graphs using stochastic graph convolutions.

hit-mac icon hit-mac

This repository is the official implementation of Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks.

ic3net icon ic3net

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

kmcuda icon kmcuda

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

maac icon maac

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

maddpg-mpe icon maddpg-mpe

Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).

magent icon magent

A Platform for Many-agent Reinforcement Learning

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.