#
reproducibility
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Aug 3, 2022 - Python
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
python
infrastructure
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mongodb
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Aug 3, 2022 - Python
Accelerated deep learning R&D
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Jul 7, 2022 - Python
PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡ 🔥 ⚡
config
template
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neptune
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comet
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Aug 2, 2022 - Python
krzentner
opened
Dec 3, 2020
This is the development home of the workflow management system Snakemake. For general information, see
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Jul 29, 2022 - HTML
The collaboration workspace for Machine Learning
data-science
machine-learning
deep-learning
mxnet
tensorflow
models
machine-learning-algorithms
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deeplearning
reproducibility
mlops
mlops-environment
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Jan 12, 2022 - Kotlin
A comparison between some VPS providers. It uses Ansible to perform a series of automated benchmark tests over the VPS servers that you specify. It allows the reproducibility of those tests by anyone that wanted to compare these results to their own. All the tests results are available in order to provide independence and transparency.
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May 22, 2018 - Python
Ram81
commented
Mar 10, 2021
Description
Currently, when a challenge link from EvalAI is shared users see a generic view of EvalAI homepage. We want the details specific to a challenge to be shown when a link is shared. Here's how it looks currently
Expected behavior:
T
An R-focused pipeline toolkit for reproducibility and high-performance computing
workflow
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r
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makefile
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drake
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Sep 24, 2021 - 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.
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Jun 21, 2022 - Python
Unifying Generative Autoencoder implementations in Python
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Jul 26, 2022 - Python
Presentation-Ready Data Summary and Analytic Result Tables
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statistics
html5
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rstats
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gt
summary-statistics
tableone
table1
summary-tables
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Jul 24, 2022 - R
Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
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May 9, 2022 - R
Function-oriented Make-like declarative workflows for R
workflow
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make
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Aug 3, 2022 - R
Create highly reproducible python environments
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Jul 29, 2022 - Python
rrtools: Tools for Writing Reproducible Research in R
r
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Aug 3, 2022 - R
Workflow Description Language - Specification and Implementations
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May 13, 2022 - Java
[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.
python
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Sep 7, 2021 - Python
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
python
postgres
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vuejs
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Mar 31, 2018 - Jupyter Notebook
Generic template to bootstrap your PyTorch project.
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Jun 13, 2022 - Python
High-fidelity performance metrics for generative models in PyTorch
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May 14, 2022 - Python
Open solution to the Home Credit Default Risk challenge 🏡
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Jun 22, 2022 - Python
Declarative and reproducible Jupyter environments - powered by Nix
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Aug 3, 2022 - Jupyter Notebook
shabazpatel
opened
Dec 7, 2018
remram44
commented
Jan 14, 2021
Easiest would probably be to use cffi instead of manual CPython binding.
See also conda-forge/reprozip-feedstock#11
T-enhancement
Type: En enhancement to existing code, or a new feature
C-tracer (C)
Component: The C part of the tracer codebase (_pytracer extension)
good first issue
Newcomers welcome! This should be easy and self-contained enough for someone new to the codebase
hacktoberfest
Newcomers welcome! This should be easy and self-contained enough for someone new to the codebase
ivotron
commented
Jun 19, 2020
Add an example workflow in the examples/gradle/ folder that exemplifies how to make use of Popper to create a CI pipeline for java projects that use gradle as their build system. The image used by the workflow can be the official one.
1
Open
cli: colorize output
9
PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.
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Jul 21, 2022 - JavaScript
Nixify software with less effort [maintainer=@DavHau]
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Aug 3, 2022 - Nix
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Should be similar to
params_show:https://github.com/iterative/dvc/blob/main/dvc/api/params.py