276 Open source projects that are alternatives of or similar to binderhub-deploy

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

⛔ ARCHIVED ⛔

NOTE: This repo is archived. Please see https://github.com/benmarwick/rrtools for my current approach

Open solution to the Google AI Object Detection Challenge 🍁

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Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

ukbREST: efficient and streamlined data access for reproducible research of large biobanks

A minimal example data analysis project with the targets R package

Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks

Curated set of transformers that make your work with steppy faster and more effective 🔭

An R-focused pipeline toolkit for reproducibility and high-performance computing

A Helm chart repo to install persistent BinderHub

☁️ 🚀 📊 📈 Evaluating state of the art in AI

Examples and demos for ReproZip

Reproducible Data Science in Python (SciPy 2019 Tutorial)

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

ReproZip is a tool that simplifies the process of creating reproducible experiments from command-line executions, a frequently-used common denominator in computational science.

Short course on the targets R package

rrtools: Tools for Writing Reproducible Research in R

creating optimal conditions for reproducibility

Function-oriented Make-like declarative workflows for R

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Presentation-Ready Data Summary and Analytic Result Tables

project page for creating a guide to reproducible research

Lightweight, Python library for fast and reproducible experimentation 🔬

A set of tools for R that enhance reproducibility beyond package management

Deployment config files for mybinder.org

A curated list of reproducible research case studies, projects, tutorials, and media

Short course on reproducible science: what, why, how

Coding Standards for the USC Biostats group

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Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

Example workflows for the drake R package

A repository for team interaction, syncing, and handling meeting notes across the JupyterHub ecosystem.

Guide for Reproducible Research and Data Science in Jupyter Notebooks

Run your code in the cloud, with technology so advanced, it feels like magic!

📦 Create a package or compendium structure

Jupyter notebook server extension to proxy web services.

👩‍🏫 Advanced NLP with spaCy: A free online course

Specifying a conda environment with `environment.yml`

Reproducible Research with Rmarkdown: data management, analysis, and reporting all-in-one

MPyC for Secure Multiparty Computation in Python

Using R with Jupyter / RStudio on Binder

Code related to Neuroimaging Analysis Replication and Prediction Study

Android 8.0 保活实践

Convert Jupyter notebook to Excel spreadsheet

Propedéutico de la MCD

An easy-to-use way for running Galaxy workflows.

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

A Cytoscape Jupyter widget

Some Jupyter notebooks about audio signal processing with Python

Android Sync Binder

A store of Helm chart tarballs for deploying JupyterHub and BinderHub on a Kubernetes cluster

😜 记录日常的开发技巧，开发中遇到的技术重点、难点，各个知识点的总结，优质面试题等等。持续更新...

Creating virtual environments for R.

Reproducible R Scripts Via Date Controlled Installing & Loading of CRAN & Git Packages

Software copy protection against cracking & reverse engineering with anti-cracking & anti-debugging techniques. Software license key system with time trial options.

Master gradient-based machine learning. Also secretly a JAX course in disguise!

flying-pigeon 是一个IPC 跨进程通信组件，底层是匿名内存+Binder ， 突破1MB大小限制，无需写AIDL文件，让实现跨进程通信就像写一个接口一样简单

GitHub Action for repo2docker