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- FAIR Sequence Modeling Toolkit 2
- A modular high-level library to train embodied AI agents across a variety of tasks and environments.
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
- Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset
- A collection of MARL benchmarks based on TorchRL
- A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.
- The Visual Environment Evaluation Tool (VEET) device is a pair of temple arm form-factor devices that allow a researcher to gather visual information that the eye receives throughout the day without interruption of normal activities.This is a repository of VEET management software and device firmware for researchers using the VEET.
- Large Concept Models: Language modeling in a sentence representation space
- 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…