ck-analyticsCollective Knowledge repository with actions to unify the access to different predictive analytics engines (scipy, R, DNN) from software, command line and web-services via CK JSON API:
Stars: ✭ 35 (+59.09%)
crowdsource-video-experiments-on-androidCrowdsourcing video experiments (such as collaborative benchmarking and optimization of DNN algorithms) using Collective Knowledge Framework across diverse Android devices provided by volunteers. Results are continuously aggregated in the open repository:
Stars: ✭ 29 (+31.82%)
crowdsource-experiments-using-android-devicesAndroid application to participate in experiment crowdsourcing (such as workload crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework and open repositories of knowledge:
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ck-webCollective Knowledge web extension to browse CK repositories, visualize interactive graphs and articles, render CK-based websites, implement simple web services with JSON API (for example to crowdsource experiments or unify access to DNN). Demos of interactive articles, graphs and crowdsourced experiments:
Stars: ✭ 31 (+40.91%)
ctuning-programsCollective Knowledge extension with unified and customizable benchmarks (with extensible JSON meta information) to be easily integrated with customizable and portable Collective Knowledge workflows. You can easily compile and run these benchmarks using different compilers, environments, hardware and OS (Linux, MacOS, Windows, Android). More info:
Stars: ✭ 41 (+86.36%)
ck-envCK repository with components and automation actions to enable portable workflows across diverse platforms including Linux, Windows, MacOS and Android. It includes software detection plugins and meta packages (code, data sets, models, scripts, etc) with the possibility of multiple versions to co-exist in a user or system environment:
Stars: ✭ 67 (+204.55%)
ctuning-datasets-minPublic data sets and their properties in the Collective Knowledge Format with JSON API and JSON meta information to be easily pluggable to customizable and reproducible CK experimental workflows (such as collaborative program analysis and optimization):
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ck-caffe2Integration of Caffe2 to Collective Knowledge workflow framework to provide unified CK JSON API for AI (customized builds across diverse libraries and hardware, unified AI API, collaborative experiments, performance optimization and model/data set tuning):
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Reproduce Ck PaperShared artifacts in the Collective Knowledge Format as a proof-of-concept to reproduce our recent Collective Mind- and Collective Knowledge-related papers
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Ck CaffeCollective Knowledge workflow for Caffe to automate installation across diverse platforms and to collaboratively evaluate and optimize Caffe-based workloads across diverse hardware, software and data sets (compilers, libraries, tools, models, inputs):
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json-apiFramework agnostic JSON API serialisation and deserialisation
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fireAn idiomatic micro-framework for building Ember.js compatible APIs with Go.
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XNOR-NetXNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe
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panoptesMonitor computational workflows in real time
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PSPNet-PytorchImplemetation of Pyramid Scene Parsing Network in Pytorch
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score-zeroshotSemantically consistent regularizer for zero-shot learning
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JsonApiBundleIntegration of JSON API with Symfony using JMS Serializer
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caffe srganA Caffe Implementation of SRGAN
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xijsA business - oriented scene Js Library
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fnNo description or website provided.
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bulkerManager for multi-container computing environments
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caffe-simnetsThe SimNets Architecture's Implementation in Caffe
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renvCreating virtual environments for R.
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KervolutionKervolution implementation using TF2.0
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ITKPythonPackageA setup script to generate ITK Python Wheels
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iAI🎯 保姆级深度学习从入门到放弃 🤪 🤪
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benchmark VAEUnifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
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tripletRe-implementation of tripletloss function in FaceNet
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MSG-NetDepth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
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Image2LMDBConvert image folder to lmdb, adapted from Efficient-PyTorch
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openscienceEmpirical Software Engineering journal (EMSE) open science and reproducible research initiative
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jsonapi-serializableConveniently build and efficiently render JSON API resources.
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php-serializerSerialize PHP variables, including objects, in any format. Support to unserialize it too.
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caffe-static在caffe应用到工程实现时,为了方便系统安装,需要尽可能减少软件的依赖库。 本项目以bash shell/PowerShell脚本实现将caffe依赖的所有第三方库与caffe静态编译一起,以满足全静态编译的要求。 通过本项目提供的脚本生成的caffe编译环境不需要在系统安装任何第三方库和软件,就可以自动完成caffe项目静态编译. 目前在centos6.5/ubuntu16/win7/win10上测试通过,windows上VS2013,VS2015,MinGW 5.2.0编译通过
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galaksioAn easy-to-use way for running Galaxy workflows.
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druxt.jsThe Fully Decoupled Drupal Framework
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papeRA toolbox for writing Sweave or other LaTeX-based papers and reports and to prettify the output of various estimated models.
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caffe weight converterCaffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.
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Rmarkdown tutorialReproducible Research with Rmarkdown: data management, analysis, and reporting all-in-one
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caffe-char-rnnMulti-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe
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binderhub-deployDeploy a BinderHub from scratch on Microsoft Azure
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mbus基于RabbitMQ简单实现验证码识别平台,训练网络模型智能识别图形验证码
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caffe-conf-matrixPython layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.
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jupyter-guideGuide for Reproducible Research and Data Science in Jupyter Notebooks
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rest-apiLaravel restfull api boilerplate
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FACILFramework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
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GuidedNetCaffe implementation for "Guided Optical Flow Learning"
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