reproducibility

#效率工具集合#🦉 Data Versioning and ML Experiments

#计算机科学#The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

#计算机科学#PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

#计算机科学#Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

#自然语言处理#Accelerated deep learning R&D

This is the development home of the workflow management system Snakemake. For general information, see

A toolkit for reproducible reinforcement learning research.

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

#计算机科学#☁ 🚀 📊 📈 Evaluating state of the art in AI

Dev environments for numerous languages based on Nix flakes [maintainer=@lucperkins]

#计算机科学#The collaboration workspace for Machine Learning

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 ...

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

Simplified nix packaging for various programming language ecosystems [maintainer=@DavHau]

Presentation-Ready Data Summary and Analytic Result Tables

High-fidelity performance metrics for generative models in PyTorch

Function-oriented Make-like declarative workflows for R

#计算机科学#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.

Create highly reproducible python environments

Specification for the Workflow Description Language (WDL).