Pinned Repositories
2019-camerino-tidy-data
Repository for Tidy data analysis and visualization @ ASPP 2019
all-optical-neural-networks
Supporting code for "End-to-end optical backpropagation for training neural networks".
Application-Mapping
Heuristics for Application Mapping on mesh-based Network-on-Chip Architectures
awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
biblatex-gb7714-2015
A biblatex implementation of the GB/T7714-2015 bibliography style || GB/T 7714-2015 参考文献著录和标注的biblatex样式包
Branch-and-Bound-on-NoC
implementation of B&B for mapping optimizatin on Network-on-Chip
Capsulepaper
论文 Hinton等的论文 Matrix capsules with EM routing - Hinton, G. E., Sabour, S. and Frosst, N. (2018) Dynamic Routing Between Capsules - Sabour, S., Frosst, N. and Hinton, G.E. (2017) Transforming Auto-encoders - Hinton, G. E., Krizhevsky, A. and Wang, S. D. (2011) A parallel computation that assigns canonical object-based frames of reference. - Hinton, G.E. (1981) Shape representation in parallel systems - Hinton, G.E. (1981) Optimizing Neural Networks that Generate Images - Tijmen Tieleman’s disseration 其他论文 Capsule Network Performance on Complex Data - Xi, E., Bing, S. and Jin, Y. (2017) Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture - Qiao, K., Zhang, C., Wang, L., Yan, B., Chen, J., Zeng, L. and Tong, L., (2018) An Optimization View on Dynamic Routing Between Capsules - Wang, D., Liu, E. (2018) CapsuleGAN: Generative Adversarial Capsule Network Ayush Jaiswal, Wael AbdAlmageed, Premkumar Natarajan. (2018) Spectral Capsule Networks - Bahadori, M. T. (2018) 博客 Max Pechyonkin的胶囊网络入门系列： 胶囊网络背后的直觉 胶囊如何工作 囊间动态路由算法 胶囊网络架构 基于TensorFlow实现胶囊网络 Debarko De的胶囊网络教程，包括注释详尽的胶囊网络实现代码 基于CUDA为胶囊网络实现TensorFlow定制操作 Jos van de Wolfshaar的文章，定制胶囊网络运算的CUDA支持 ISI新研究：胶囊生成对抗网络 用胶囊网络替换CNN作为GAN的判别网络，在MNIST数据集上取得了比卷积GAN更好的表现 Uncovering the Intuition behind Capsule Networks and Inverse Graphic Tanay Kothari的长篇教程 A Visual Representation of Capsule Connections in Dynamic Routing Between Capsules Mike Ross的胶囊网络示意图 Capsule Networks Are Shaking up AI — Here’s How to Use Them Nick Bourdakos的介绍 Capsule Networks Explained Kendrick Tan的解释 Understanding Dynamic Routing between Capsules (Capsule Networks) Jonathan Hui的教程，包括注释详尽的基于Keras的胶囊网络实现代码 Matrix capsules with EM routing Adrian Colyer关于EM路由的文章 Capsule Networks: A Glossary Sebastian Kwiatkowski的胶囊网络术语表 Overview of awesome articles 点评三篇胶囊网络教程 视频 Geoffrey Hinton’s talk: What is wrong with convolutional neural nets? - Geoffrey Hinton在MIT. Brain & Cognitive Sciences的演讲《卷积神经网络的问题在哪里？》 Capsule Networks (CapsNets) – Tutorial - “这视频棒极了。我本希望我能把胶囊解释得这么清楚。”Geoffrey Hinton Capsule networks: overview - 胶囊网络概览，包括向量和矩阵胶囊。 Overview of awesome videos 对以上3个视频的点评。 Capsule Networks: An Improvement to Convolutional Networks Siraj Raval介绍胶囊网络的视频 动态路由实现 官方实现 Sarasra/models 《Dynamic Routing Between Capsules》论文所用的代码 TensorFlow alisure-ml/CapsNet bourdakos1/capsule-networks etendue/CapsNet_TF InnerPeace-Wu/CapsNet-tensorflow jaesik817/adv_attack_capsnet jostosh/capsnet JunYeopLee/capsule-networks laodar/tf_CapsNet leoniloris/CapsNet naturomics/CapsNet-Tensorflow rrqq/CapsNet-tensorflow-jupyter thibo73800/capsnet-traffic-sign-classifier tjiang31/CapsNet winwinJJiang/capsNet-Tensorflow PyTorch acburigo/CapsNet adambielski/CapsNet-pytorch AlexHex7/CapsNet_pytorch aliasvishnu/Capsule-Networks-Notebook-MNIST andreaazzini/capsnet.pytorch cedrickchee/capsule-net-pytorch dragen1860/CapsNet-Pytorch gram-ai/capsule-networks higgsfield/Capsule-Network-Tutorial laubonghaudoi/CapsNet_guide_PyTorch leftthomas/CapsNet nishnik/CapsNet-PyTorch tonysy/CapsuleNet-PyTorch Ujjwal-9/CapsNet Keras fengwang/minimal-capsule gusgad/capsule-GAN mitiku1/Emopy-CapsNet ruslangrimov/capsnet-with-capsulewise-convolution streamride/CapsNet-keras-imdb sunxirui310/CapsNet-Keras theblackcat102/dynamic-routing-capsule-cifar XifengGuo/CapsNet-Keras XifengGuo/CapsNet-Fashion-MNIST Chainer soskek/dynamic_routing_between_capsules Torch mrkulk/Unsupervised-Capsule-Network MXNet AaronLeong/CapsNet_Mxnet GarrickLin/Capsnet.Gluon Soonhwan-Kwon/capsnet.mxnet CNTK Southworkscom/CapsNet-CNTK Lasagne DeniskaMazur/CapsNet-Lasagne Matlab yechengxi/LightCapsNet R dfalbel/capsnet JavaScript alseambusher/capsnet.js Vulcan moothyknight/CapsNet-for-Graphics-Rendering-Optimization EM路由实现 TensorFlow gyang274/capsulesEM www0wwwjs1/Matrix-Capsules-EM-Tensorflow PyTorch shzygmyx/Matrix-Capsules-pytorch 其他资源 Capsule Networks discussion Facebook讨论组 CapsNet-Tensorflow CapsNet-Tensorflow的gitter.im讨论组 Will capsule networks replace neural networks? Quora问答“胶囊网络会取代神经网络吗？” Could GANs work with Hinton’s capsule theory? Quora问答“GAN可以应用Hinton的胶囊理论吗？” Dynamic Routing Between Capsules Kyuhwan Jung对论文《Dynamic routing between Capsules》的评论（slideshare）
Neural-Networks-on-Silicon
This is a collection of works on neural networks and neural accelerators.
Topology_Mapping
This is an assignment in the information systems and software course. As simulating large scale network experiments requires lots of physical resources, partitioning can be used. Topology mapping is a partitioning technique that maps the simulated nodes to different physical nodes. In this assignment, we will use spectral clustering to partition a given network topology on the available physical nodes.
daitr616's Repositories
daitr616/Topology_Mapping
This is an assignment in the information systems and software course. As simulating large scale network experiments requires lots of physical resources, partitioning can be used. Topology mapping is a partitioning technique that maps the simulated nodes to different physical nodes. In this assignment, we will use spectral clustering to partition a given network topology on the available physical nodes.
daitr616/awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
daitr616/Best-websites-a-programmer-should-visit
:link: Some useful websites for programmers.
daitr616/biblatex-gb7714-2015
A biblatex implementation of the GB/T7714-2015 bibliography style || GB/T 7714-2015 参考文献著录和标注的biblatex样式包
daitr616/CarImageClassificationOnHPC
Car Image Classification Using Convolutional Neural Networks (CNN) and using single and multiple GPUs to compare the speedup performance
daitr616/CoastSat
Global shoreline mapping tool from satellite imagery
daitr616/CoastSat.islands
Satellite-derived shorelines and 2D planform measurements for islands, extension of the CoastSat toolbox.
daitr616/CoastSat.slope
Beach-face slope estimation from satellite-derived shorelines, extension of the CoastSat toolbox.
daitr616/deeplearning-models
A collection of various deep learning architectures, models, and tips
daitr616/DNN_NeuroSim_V2.0
Benchmark framework of compute-in-memory based accelerators for deep neural network (on-chip training chip focused)
daitr616/fairscale
PyTorch extensions for high performance and large scale training.
daitr616/flatland-reinforcement-learning
Multi-Agent Reinforcement Learning for optimal train schedules
daitr616/gpubootcamp
This repository consists for gpu bootcamp material for HPC and AI
daitr616/Graphite
A parallel, distributed simulator for multicores.
daitr616/gym
A toolkit for developing and comparing reinforcement learning algorithms.
daitr616/hpc-parallel-novice
Introductory material on parallelization using python with a focus on HPC platforms
daitr616/imgclsmob
Sandbox for training deep learning networks
daitr616/machine-learning
Collection of Jupyter notebooks with examples of machine learning - supervised, unsupervised and reinforcement learning models.
daitr616/mas_basics
the basics of multi-agent systems in python
daitr616/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
daitr616/mobile-vision
Mobile vision models and code
daitr616/models
Models and examples built with TensorFlow
daitr616/oneDNN
oneAPI Deep Neural Network Library (oneDNN)
daitr616/OpenCoarrays
A parallel application binary interface for Fortran 2018 compilers.
daitr616/optical-rl-gym
Set of reinforcement learning environments for optical networks
daitr616/optimizers
examples of lp optimization in python
daitr616/pipedream
focus
daitr616/protobuf
Protocol Buffers - Google's data interchange format
daitr616/tutorials
PyTorch tutorials.
daitr616/vision
Datasets, Transforms and Models specific to Computer Vision