93 Open source projects that are alternatives of or similar to Garage

⛔ ARCHIVED ⛔

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

Pythonic functions for creating and enhancing Hydra applications

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

Code related to Neuroimaging Analysis Replication and Prediction Study

Short course on the targets R package

creating optimal conditions for reproducibility

declarative and reproducible Jupyter environments - powered by Nix

Create highly reproducible python environments

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

Accelerated deep learning R&D

Container-native task automation engine.

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

Tool for encapsulating, running, and reproducing data science projects

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

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

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

This Snakemake pipeline implements the GATK best-practices workflow

Tools for computation on batch systems

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

Deep Reinforcement Learning (DRL) agents applied to medical images

Automation and Make

Lightweight, Python library for fast and reproducible experimentation 🔬

project page for creating a guide to reproducible research

R Package 📦 for initializing projects for various R activities 🔩

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

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.

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.

A Reproducible Data Analysis Workflow with R Markdown, Git, Make, and Docker

VisTrails is an open-source data analysis and visualization tool. It provides a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the computational processes that derive these products and their executions.

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

Implementation of SCP-010.

Reproduce research from paper "Predicting the direction of stock market prices using random forest"