VICReg: Tutorial and Lightweight PyTorch Implementation
We present a tutorial and lightweight PyTorch implementation of VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.
A PyTorch Implementation of SIMONe
Our Hiring Process
Designing a great interview process for software engineers is tricky. How do we offer an accurate and comprehensive view of the role without taking up too much of your time? How do we give you the opportunity ...
Jupyter Ascending: Sync Notebooks To Your Editor
We're open-sourcing a tool that syncs your Jupyter notebooks to your favorite code editor so you can enjoy the best of both worlds!
A PyTorch Implementation of Slot Attention
We're open sourcing a PyTorch implementation of Object-Centric Learning with Slot Attention, one of our favorite papers from NeurIPS 2020.
Josh Albrecht: A New AI Research Lab
Our CTO Josh Albrecht was interviewed on Machine Learning Engineered! Josh talks about pivoting from an AI recruiting startup to Generally Intelligent, touches on what we're working on now, and discusses ...
Understanding Self-Supervised and Contrastive Learning with "Bootstrap Your Own Latent" (BYOL)
Unlike prior work like SimCLR and MoCo, the recent paper Bootstrap Your Own Latent (BYOL) from DeepMind demonstrates a state of the art method for self-supervised learning of image representations ...
Appendix for "Understanding Self-Supervised and Contrastive Learning with 'Bootstrap Your Own Latent' (BYOL)"