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s-mab

Code and data for the paper "Scaling Multi-Armed Bandit Algorithms". Fouché, Komiyama, Böhm. KDD'19

s2sd

Implementation for S2SD - Simultaneous Similarity-based Self-Distillation for Deep Metric Learning

safe-rl-shielding

sales-assistant

sampler

implementation of reservoir sampling in golang

sc-gpt

Few-shot Natural Language Generation for Task-Oriented Dialog

scala

All Algorithms implemented in Scala

scalable-variational-bayesian-factorization-machine

Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.

scalable_graph

scalding-tutorial

The Scalding tutorial as a standalone SBT project

scann

scanns

A scalable nearest neighbor search library in Apache Spark

scatsimclr

Official implementation of paper "ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets", accepted at ICCV 2021 2nd Visual Inductive Priors for Data-Efficient Deep Learning Workshop

sccl

Pytorch implementation of Supporting Clustering with Contrastive Learning, NAACL 2021

sceloss-reproduce

Reproduce Results for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels" https://arxiv.org/abs/1908.06112

scenariometa

Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"

scikit-feature

open-source feature selection repository in python

scikit-learn_bench

scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.

scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

scinol_icml2019

Different optimizers tested in Tensorflow

sde-net

Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates

sdml

Scalable deep multimodal learning for cross-modal retrieval (SIGIR 2019, PyTorch Code)

sdmr

SDMR recommendation model -- WWW 2019

sdnet

SDNet

se-kge

Gengchen Mai, Krzysztof Janowicz, Ling Cai, Rui Zhu, Blake Regalia, Bo Yan, Meilin Shi, Ni Lao. SE-KGE: A Location-Aware Knowledge Graph Embedding Model for Geographic Question Answering and Spatial Semantic Lifting. Transactions in GIS. DOI:10.1111/TGIS.12629

sea

Demo Code of SEA

seal-for-link-prediction

SEAL, a link prediction framework based on GNN.

seanliaoy.github.io

search

seckill

java高并发优化商品秒杀系统