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- GPU Cluster Monitoring (GCM): Large-Scale AI Research Cluster Monitoring
- Clusterscope is a CLI and python library to extract information from HPC Clusters and Jobs.
- 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.
- FAIR Sequence Modeling Toolkit 2
- PrivacyGuard platform for Privacy Attacks and Analysis. Perform privacy analyses of ML models using Inference Attacks and Extraction Attacks. PrivacyGuard library implements varied, SotA privacy attacks, along with tooling to analyze results. Please see the README and tutorials to get started!
- A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.
- An open source library designed to provide community examples of Joint Embedding Predictive Architectures (JEPAs). It contains code and examples for learning representations from images, video, and action-conditioned video, as well as planning using JEPA-based models.
- This repository contains the training code from paper "SpidR Learning Fast and Stable Linguistic Units for Spoken Language Models Without Supervision". SpidR is a self-supervised speech representation model that efficiently learns strong representations for spoken language modeling.
- This repository provides a comprehensive benchmark for evaluating the performance of neural watermarking techniques. The benchmark includes a variety of datasets, evaluation metrics, and tools for training and testing neural networks for watermarking.
- A dynamic binary instrumentation tool for tracing and analyzing CUDA kernel instructions.