All Projects → ck-crowd-scenarios → Similar Projects or Alternatives

621 Open source projects that are alternatives of or similar to ck-crowd-scenarios

ck-analytics
Collective 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-android
Crowdsourcing 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-devices
Android application to participate in experiment crowdsourcing (such as workload crowd-benchmarking and crowd-tuning) using Collective Knowledge Framework and open repositories of knowledge:
Stars: ✭ 23 (+4.55%)
ck-web
Collective 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-programs
Collective 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-env
CK 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-min
Public 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):
Stars: ✭ 26 (+18.18%)
ck-caffe2
Integration 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):
Stars: ✭ 34 (+54.55%)
Mutual labels:  json-api, collective-knowledge
Reproduce Ck Paper
Shared artifacts in the Collective Knowledge Format as a proof-of-concept to reproduce our recent Collective Mind- and Collective Knowledge-related papers
Stars: ✭ 24 (+9.09%)
Mutual labels:  json-api, reproducible-research
Ck Caffe
Collective 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):
Stars: ✭ 192 (+772.73%)
Mutual labels:  caffe, json-api
json-api
Framework agnostic JSON API serialisation and deserialisation
Stars: ✭ 40 (+81.82%)
Mutual labels:  json-api
fire
An idiomatic micro-framework for building Ember.js compatible APIs with Go.
Stars: ✭ 56 (+154.55%)
Mutual labels:  json-api
XNOR-Net
XNOR-Net, CUDNN5 supported version of XNOR-Net-caffe: https://github.com/loswensiana/BWN-XNOR-caffe
Stars: ✭ 30 (+36.36%)
Mutual labels:  caffe
example-golang-todo
Golang API backend powering a TodoList app
Stars: ✭ 33 (+50%)
Mutual labels:  json-api
panoptes
Monitor computational workflows in real time
Stars: ✭ 45 (+104.55%)
Mutual labels:  reproducible-research
PSPNet-Pytorch
Implemetation of Pyramid Scene Parsing Network in Pytorch
Stars: ✭ 26 (+18.18%)
Mutual labels:  caffe
score-zeroshot
Semantically consistent regularizer for zero-shot learning
Stars: ✭ 65 (+195.45%)
Mutual labels:  caffe
JsonApiBundle
Integration of JSON API with Symfony using JMS Serializer
Stars: ✭ 56 (+154.55%)
Mutual labels:  json-api
caffe srgan
A Caffe Implementation of SRGAN
Stars: ✭ 59 (+168.18%)
Mutual labels:  caffe
xijs
A business - oriented scene Js Library
Stars: ✭ 91 (+313.64%)
Mutual labels:  json-api
fn
No description or website provided.
Stars: ✭ 28 (+27.27%)
Mutual labels:  json-api
json-api-response-converter
Normalize your JSON:API response
Stars: ✭ 21 (-4.55%)
Mutual labels:  json-api
bulker
Manager for multi-container computing environments
Stars: ✭ 16 (-27.27%)
Mutual labels:  reproducible-research
caffe-simnets
The SimNets Architecture's Implementation in Caffe
Stars: ✭ 13 (-40.91%)
Mutual labels:  caffe
renv
Creating virtual environments for R.
Stars: ✭ 18 (-18.18%)
Mutual labels:  reproducible-research
Kervolution
Kervolution implementation using TF2.0
Stars: ✭ 20 (-9.09%)
Mutual labels:  reproducible-research
ITKPythonPackage
A setup script to generate ITK Python Wheels
Stars: ✭ 59 (+168.18%)
Mutual labels:  reproducible-research
iAI
🎯 保姆级深度学习从入门到放弃 🤪 🤪
Stars: ✭ 432 (+1863.64%)
Mutual labels:  caffe
benchmark VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Stars: ✭ 1,211 (+5404.55%)
Mutual labels:  reproducible-research
triplet
Re-implementation of tripletloss function in FaceNet
Stars: ✭ 94 (+327.27%)
Mutual labels:  caffe
MobileNet-SSD-windows
No description or website provided.
Stars: ✭ 91 (+313.64%)
Mutual labels:  caffe
reproducibility-guide
⛔ ARCHIVED ⛔
Stars: ✭ 119 (+440.91%)
Mutual labels:  reproducible-research
MSG-Net
Depth Map Super-Resolution by Deep Multi-Scale Guidance, ECCV 2016
Stars: ✭ 76 (+245.45%)
Mutual labels:  caffe
Image2LMDB
Convert image folder to lmdb, adapted from Efficient-PyTorch
Stars: ✭ 58 (+163.64%)
Mutual labels:  caffe
openscience
Empirical Software Engineering journal (EMSE) open science and reproducible research initiative
Stars: ✭ 28 (+27.27%)
Mutual labels:  reproducible-research
jsonapi-serializable
Conveniently build and efficiently render JSON API resources.
Stars: ✭ 43 (+95.45%)
Mutual labels:  json-api
Mxnet2Caffe-Tensor-RT-SEnet
Mxnet2Caffe_Tensor RT
Stars: ✭ 18 (-18.18%)
Mutual labels:  caffe
php-serializer
Serialize PHP variables, including objects, in any format. Support to unserialize it too.
Stars: ✭ 47 (+113.64%)
Mutual labels:  json-api
genepattern-server
The GenePattern Server web application
Stars: ✭ 26 (+18.18%)
Mutual labels:  reproducible-research
drupal-jsonapi-params
A package to manage json-api params
Stars: ✭ 42 (+90.91%)
Mutual labels:  json-api
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
Stars: ✭ 23 (+4.55%)
Mutual labels:  caffe
galaksio
An easy-to-use way for running Galaxy workflows.
Stars: ✭ 19 (-13.64%)
Mutual labels:  reproducible-research
json-api-react-redux-example
React Application With Redux And JSON API
Stars: ✭ 25 (+13.64%)
Mutual labels:  json-api
druxt.js
The Fully Decoupled Drupal Framework
Stars: ✭ 96 (+336.36%)
Mutual labels:  json-api
Characters of the Three Kingdoms
3️⃣ Characters of the Three Kingdoms - 三国人物结构化数据
Stars: ✭ 100 (+354.55%)
Mutual labels:  json-api
papeR
A toolbox for writing Sweave or other LaTeX-based papers and reports and to prettify the output of various estimated models.
Stars: ✭ 26 (+18.18%)
Mutual labels:  reproducible-research
arcface retinaface mxnet2onnx
arcface and retinaface model convert mxnet to onnx.
Stars: ✭ 53 (+140.91%)
Mutual labels:  caffe
caffe weight converter
Caffe-to-Keras weight converter. Can also export weights as Numpy arrays for further processing.
Stars: ✭ 68 (+209.09%)
Mutual labels:  caffe
Scale-Adaptive-Network
Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)
Stars: ✭ 42 (+90.91%)
Mutual labels:  caffe
rcompendium
📦 Create a package or compendium structure
Stars: ✭ 26 (+18.18%)
Mutual labels:  reproducible-research
Rmarkdown tutorial
Reproducible Research with Rmarkdown: data management, analysis, and reporting all-in-one
Stars: ✭ 18 (-18.18%)
Mutual labels:  reproducible-research
caffe-char-rnn
Multi-layer Recurrent Neural Networks (with LSTM) for character-level language models in Caffe
Stars: ✭ 25 (+13.64%)
Mutual labels:  caffe
tensorrt-ssd-easy
No description or website provided.
Stars: ✭ 32 (+45.45%)
Mutual labels:  caffe
binderhub-deploy
Deploy a BinderHub from scratch on Microsoft Azure
Stars: ✭ 27 (+22.73%)
Mutual labels:  reproducible-research
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
Stars: ✭ 37 (+68.18%)
Mutual labels:  caffe
caffe-conf-matrix
Python layer for the Caffe deep learning framework to compute the accuracy and the confusion matrix.
Stars: ✭ 20 (-9.09%)
Mutual labels:  caffe
jupyter-guide
Guide for Reproducible Research and Data Science in Jupyter Notebooks
Stars: ✭ 111 (+404.55%)
Mutual labels:  reproducible-research
rest-api
Laravel restfull api boilerplate
Stars: ✭ 57 (+159.09%)
Mutual labels:  json-api
FACIL
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Stars: ✭ 411 (+1768.18%)
Mutual labels:  reproducible-research
GuidedNet
Caffe implementation for "Guided Optical Flow Learning"
Stars: ✭ 28 (+27.27%)
Mutual labels:  caffe
1-60 of 621 similar projects