This is the implementation of DGN on Pymarl, which could be trained by VDN or QMIX.
python3 src/main.py --config=vdn --env-config=sc2 with comm_flag=1.0
python3 src/main.py --config=qmix --env-config=sc2 with comm_flag=1.0
In the costumed starcraft.py, we decrease the sight range and communication range.
This repository contains the code for the binaural-detection model used in the publication arXiv:2111.04637 Dependencies The model depends on the foll
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Social-Fabric Social Fabric: Tubelet Compositions for Video Relation Detection This repository contains the code and results for the following paper:
深度学习在图像处理中的应用教程 前言 本教程是对本人研究生期间的研究内容进行整理总结，总结的同时也希望能够帮助更多的小伙伴。后期如果有学习到新的知识也会与大家一起分享。 本教程会以视频的方式进行分享，教学流程如下： 1）介绍网络的结构与创新点 2）使用Pytorch进行网络的搭建与训练 3）使用Te
VLGrammar: Grounded Grammar Induction of Vision and Language
Computer vision has opened up a lot of opportunities to explore into AI domain that were earlier highly limited. Here is an application of haarcascade classifier and OpenCV to develop a social distan
CSDNet-CSDGAN this is the code for the paper "Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement" Environment Preparing pyt
CG-MuAlign A reference implementation for "Collective Multi-type Entity Alignment Between Knowledge Graphs", published in WWW 2020. If you find our pa
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Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection This repository is an official implementation of the AAAI 2021 paper Co-mi
Barlow-Twins-TF This repository implements Barlow Twins (Barlow Twins: Self-Supervised Learning via Redundancy Reduction) in TensorFlow and demonstrat
PN-Net We present a neural field-based framework for depth estimation from single-view RGB images. Rather than representing a 2D depth map as a single
f2py Examples Simple examples of using f2py to get high-speed Fortran integrated with Python easily. These examples are also useful to troubleshoot pr
ML_Model_implementaion Implementation of ML models like Decision tree, Naive Bayes, Logistic Regression and many other dectree_model: Implementation o
Safe Local Motion Planning with Self-Supervised Freespace Forecasting By Peiyun Hu, Aaron Huang, John Dolan, David Held, and Deva Ramanan Citing us Yo
Single Image Super-Resolution (SISR) with SRResNet, EDSR and SRGAN Introduction Image super-resolution (SR) is the process of recovering high-resoluti
Rendering of live Jupyter notebooks with interactive widgets. Introduction Voilà turns Jupyter notebooks into standalone web applications. Unlike the
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