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fastmri

A large-scale dataset of both raw MRI measurements and clinical MRI images.

fasttext

Library for fast text representation and classification.

The codes reproduce the figures and statistics in the paper, "A graphical method of cumulative differences between two subpopulations," by Mark Tygert. The repo also provides the LaTeX and BibTex sources required for replicating the paper.

fbcdgraph

The codes reproduce the figures and statistics in the paper, "Cumulative deviation of a subpopulation from the full population," by Mark Tygert. The repo also provides the LaTeX and BibTex sources required for replicating the paper.

fbooja

Implements the bootstrap and jackknife methods of http://tygert.com/jdssv.pdf

fbpcf

Private computation framework library allows developers to perform randomized controlled trials, without leaking information about who participated or what action an individual took. It uses secure multiparty computation to guarantee this privacy. It is suitable for conducting A/B testing, or measuring advertising lift and learning the aggregate statistics without sharing information on the individual level.

fbpcp

FBPCP (Facebook Private Computation Platform) is a secure, privacy safe and scalable architecture to deploy MPC (Multi Party Computation) applications in a distributed way on virtual private clouds. FBPCF (Facebook Private Computation Framework) is for scaling MPC computation up via threading, while FBPCP is for scaling MPC computation out via Private Scaling architecture.

fbpcs

FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data.

fbtt-embedding

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.

fdc1004_capacitivesensing

Library for accessing capacitive measurements with the FDC1004 (TI) with Arduino.

fdr_scheduler

Fluctuation-dissipation relations for stochastic gradient descent

fews

Experiment code to create the dataset presented in the EACL2021 paper "FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary".

fewshotdatasetdesign

The paper studies the problem of learning to recognize a new class of objects from a very small number of labeled images. This is called few-shot learning. Previous work in the literature focused on designing new algorithms that allow to learn to generalize to new unseen classes.In this work, we consider the impact of the dataset that we train on, and experiment with some dataset manipulations to see which trade-offs are important in the design of a dataset aimed at few-shot learning.

fid

Fusion-in-Decoder

find

FIND: search For Inductive biases IN Deep seq2seq

fine_grained_hateful_memes

Fine grained annotations extending hateful memes dataset with additional labels for identifying protected categories and attack types.

fisher_information_loss

This code reproduces the results of the paper, "Measuring Data Leakage in Machine-Learning Models with Fisher Information"

fixres

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

fjd

Fréchet Joint Distance

fl_partial_personalization

Federated Learning with Partial Model Personalization

flores

Facebook Low Resource (FLoRes) MT Benchmark

flowframe

FlowFrame enforces information flow control policies in Scala Spark applications.

flsim

Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.

foltr-es

The source code to reproduce the results reported in the 'Federated Online Learning to Rank with Evolution Strategies' paper, published at WSDM 2019.

fppe

Experiment code for FPPE paper.

frankmocap

A Strong and Easy-to-use Single View 3D Hand+Body Pose Estimator

friendshipsatisfactiondiversity

Replication code for "What Does Perception Bias on Social Networks Tell Us About Friend Count Satisfaction?", TheWebConf2022.

frl-distributed-ml-scaffold

Define an ML problem to train with Pytorch and to leverage Pytorch's functionality for multiprocessing and distributed compute.

fruit-tools-game

Emergent communication in agents learning about object affordances

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