🦉 Data Versioning and ML Experiments
☁️ 🚀 📊 📈 Evaluating state of the art in AI
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
This is the development home of the workflow management system Snakemake. For general information, see
Accelerated deep learning R&D
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
A toolkit for reproducible reinforcement learning research.
The collaboration workspace for Machine Learning
Specification for the Workflow Description Language (WDL).
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.
RNA-seq workflow using STAR and DESeq2
Get started DVC project (NLP, random forest)
Open solution to the Home Credit Default Risk challenge 🏡
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
This Snakemake pipeline implements the GATK best-practices workflow
Declarative and reproducible Jupyter environments - powered by Nix
Simplified nix packaging for various programming language ecosystems [maintainer=@DavHau]
Presentation-Ready Data Summary and Analytic Result Tables
An R-focused pipeline toolkit for reproducibility and high-performance computing
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