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- Open source impl of **MV-DUSt3R+ Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds** from Meta Reality Labs. Project page https://mv-dust3rp.github.io/
- Recipes are a standard, well supported set of blueprints for machine learning engineers to rapidly train models using the latest research techniques without significant engineering overhead.Specifically, recipes aims to provide- Consistent access to pre-trained SOTA models ready for production- Reference implementations for SOTA research reprodu…
- Large Concept Models: Language modeling in a sentence representation space
- A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.
- A modular high-level library to train embodied AI agents across a variety of tasks and environments.
- FAIR Sequence Modeling Toolkit 2
blt
Public- In this codebase we establish a benchmark for egocentric user adaptation based on Ego4d.First, we start from a population model which has data from many users to learn user-agnostic representations.As the user gains more experience over its lifetime, we aim to tailor the general model to user-specific expert models.
- A library for differentiable nonlinear optimization