#效率工具集合#🦉 Data Versioning and ML Experiments
翻译 - 🦉数据版本控制|用于数据和模型的Git
#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.
翻译 - 🔥用于可视化和跟踪机器学习实验的工具。此存储库包含CLI和Python API。
#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.
翻译 - Sacred是可帮助您配置,组织,记录和重现IDSIA开发的实验的工具。
#自然语言处理#Accelerated deep learning R&D
翻译 - 加快DL研发
This is the development home of the workflow management system Snakemake. For general information, see
翻译 - 这是工作流管理系统Snakemake的开发所在地。有关一般信息,请参见
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
翻译 - 您在一个平台上的整个机器学习生命周期。
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
Presentation-Ready Data Summary and Analytic Result Tables
Simplified nix packaging for various programming language ecosystems [maintainer=@DavHau]
High-fidelity performance metrics for generative models in PyTorch
#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.
翻译 - 这是我们在RecSys 2019中发表的文章的资料库,``我们真的取得了很大进展吗?对最近的神经推荐方法的担忧分析''
Function-oriented Make-like declarative workflows for R
Specification for the Workflow Description Language (WDL).