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- A modular high-level library to train embodied AI agents across a variety of tasks and environments.
- Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
- A collection of MARL benchmarks based on TorchRL
- Official implementation of the paper "Watermark Anything with Localized Messages"
- A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
- 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…
- FAIR Sequence Modeling Toolkit 2
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