93 Open source projects that are alternatives of or similar to ml-project-template

⛔ ARCHIVED ⛔

Create highly reproducible python environments

Reproducible Science: what, why, how

A Snakemake workflow for differential expression analysis of RNA-seq data with Kallisto and Sleuth.

The Accelerator is a tool for fast and reproducible processing of large amounts of data.

Open solution to the Google AI Object Detection Challenge 🍁

Code related to Neuroimaging Analysis Replication and Prediction Study

Ten Years Reproducibility Challenge

PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.

PyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. ⚡🔥⚡

Reproducibility for Humans: A lightweight tool to perform reproducible machine learning experiment.

Deep Reinforcement Learning (DRL) agents applied to medical images

Short course on reproducible science: what, why, how

Deploy a BinderHub from scratch on Microsoft Azure

Synchronize your working directory efficiently to a remote place without committing the changes.

Pythonic functions for creating and enhancing Hydra applications

A minimal example data analysis project with the targets R package

creating optimal conditions for reproducibility

Reproducible Data Science in Python (SciPy 2019 Tutorial)

Accelerated deep learning R&D

My nix configuration(s), using flakes. It's my laptop, it's my servers, it's my everything, in code.

Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, and DVC.

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

Tools for computation on batch systems

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

Prepare reproducible R Markdown posters

Automation and Make

Reproducible Bayesian data analysis pipelines with targets and cmdstanr

Data Analysis Workflows & Reproducibility Learning Resources

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

🔨 Gitian Building made simpler on any Windows Debian/Ubuntu MacOS with Vagrant, lxc, and virtualbox

Purely functional build system and package manager

Coding Standards for the USC Biostats group

Examples and demos for ReproZip

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Open Science, Open Data, Open Source

My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW

The Organization lesson for the Reproducible Science Curriculum

Short course on the targets R package

my Linux Configuration

declarative and reproducible Jupyter environments - powered by Nix

an initiative to provide infrastructure for reproducible workflows around open data

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

A collection of portable workflows, automation recipes and components for MLOps in a unified CK format. Note that this repository is outdated - please check the 2nd generation of the CK workflow automation meta-framework with portable MLOps and DevOps components here:

Container-native task automation engine.

Template for using mlr3 with drake

Tool for encapsulating, running, and reproducing data science projects

Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!

The Renku Project provides a platform and tools for reproducible and collaborative data analysis.

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

This Snakemake pipeline implements the GATK best-practices workflow

Experiments logging & visualization

An R package to enable reproducible data processing, packaging and sharing.

restlessdata.com.au/ggtrack

The collaboration workspace for Machine Learning

Software Papers as Software Modules: Towards a Culture of Reusable Results

Execute and document benchmarks reproducibly.

🐶 🕵️ Great Dane turned Python environment detective

Catalyst.Classification

Portable automation meta-framework to manage, describe, connect and reuse any artifacts, scripts, tools and workflows on any platform with any software and hardware in a non-intrusive way and with minimal effort. Try it using this tutorial to modularize and automate ML Systems benchmarking from the Student Cluster Competition at SC'22: