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- A modular high-level library to train embodied AI agents across a variety of tasks and environments.
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Public- FAIR Sequence Modeling Toolkit 2
- Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
- The FORT team has released differentially private Condor data to external researchers in H1 2020. It is known that analyzing DP data via classic statistical models will lead to biased conclusions. We are releasing at-scale statistical models which provide valid inference from DP data.
- 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.