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- A modular high-level library to train embodied AI agents across a variety of tasks and environments.
- FAIR Sequence Modeling Toolkit 2
- 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.
- Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset
- We introduce DiffH2O, a diffusion-based framework to synthesize dexterous hand-object interactions. DiffH2O generates realistic hand-object motion from natural language, generalizes to unseen objects at test time and enables fine-grained control over the motion with detailed textual descriptions.
- 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…