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fat2020-preprints

Links to preprints of papers to be presented at ACM FAT* 2020.

fate

Implementation of "Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps"

fatml-bar20

Notes from FATML in Barcelona 2020

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.

feast

Feature Store for Machine Learning

feather

FEATure HashER

feature-context-effects

Code accompanying our KDD 2021 paper on discovering interpretable context effects from choice data.

feature_engineering

A tool for feature engineering

featurebroker

A library for collecting features and performing inference of machine learning evaluations based on those features, useful especially in situations where the feature publishing software components are strongly decoupled from the software components that wish to exploit those features in machine learning models.

featuregenerator

featurehashing

Implement feature hashing with R

featureimportancedl

featurewiz

Use advanced feature engineering strategies and select the best features from your data set fast with a single line of code.

federated-xgboost

Federated gradient boosted decision tree learning

fedlearner

A Federated Learning Framework

feedback_control_bookexamples_in_java

Port of some of the python examples from the "Feeback Control for computer Systems" book to Java

feedback_control_for_computer_systems

This is the example code repository for Feedback Control for Computer Systems by Philipp K. Janert (O'Reilly Media)

feedbackcontrol4j

A java library to implement feedback control

few-shot-nlg

Code and Data for ACL 2020 paper "Few-Shot NLG with Pre-Trained Language Model"

ffmencoder

convert DataFrame to libffm data format in parallel

fignn

利用图神经网络进行CTR预估

files

面经文件

filter

fit-rec

Code for WWW 19' paper

flai

Flai is virtual platform for developing and comparing reinforcement learning algorithms for travel

flambe

An ML framework to accelerate research and its path to production.

flambo

A Clojure DSL for Apache Spark

flask-login

Flask user session management.

flat-lattice-transformer

code for ACL 2020 paper: FLAT: Chinese NER Using Flat-Lattice Transformer

fleetrec

Extremely easy for distributed training