🦉 Data Versioning and ML Experiments

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. ⚡🔥⚡

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Accelerated deep learning R&D

A toolkit for reproducible reinforcement learning research.

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

☁️ 🚀 📊 📈 Evaluating state of the art in AI

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.

High-fidelity performance metrics for generative models in PyTorch

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

Prepare Raspberry Pi 3, 4 & 5 configurations using a virtual machine.

Generic template to bootstrap your PyTorch project.

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Open solution to the Home Credit Default Risk challenge 🏡

Providing reproducibility in deep learning frameworks

Create powerful Hydra applications without the yaml files and boilerplate code.

Open source production model management tool for data scientists

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