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- 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.
- FAIR Sequence Modeling Toolkit 2
- Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
- 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…
vizseq
Public- This repository contains code to generate and preprocess Learning with Errors (LWE) data and implementations of four LWE attacks uSVP, SALSA, Cool&Cruel, and Dual Hybrid Meet-in-the-Middle (MitM). We invite contributors to reproduce our results, improve on these methods, and/or suggest new concrete attacks on LWE.