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recsim icon recsim

A Configurable Recommender Systems Simulation Platform

recurrentshop icon recurrentshop

Framework for building complex recurrent neural networks with Keras

redpajama-data icon redpajama-data

The RedPajama-Data repository contains code for preparing large datasets for training large language models.

rl4rs icon rl4rs

A Real-World Benchmark for Reinforcement Learning based Recommender System

rspapers icon rspapers

Must-read papers on Recommender System.

ruoyi icon ruoyi

:tada: (RuoYi)官方仓库 基于SpringBoot的权限管理系统 易读易懂、界面简洁美观。 核心技术采用Spring、MyBatis、Shiro没有任何其它重度依赖。直接运行即可用

sasrec icon sasrec

SASRec: Self-Attentive Sequential Recommendation

scikit-feature icon scikit-feature

open-source feature selection repository in python (DMML Lab@ASU)

scikit-uplift icon scikit-uplift

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

scopt icon scopt

simple scala command line options parsing

sdm icon sdm

Sequential deep matching model for recommender system at Alibaba

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

sentence2vec icon sentence2vec

Tools for mapping a sentence with arbitrary length to vector space

sentibridge icon sentibridge

SentiBridge: A Knowledge Base for Entity-Sentiment Representation

seq2seq icon seq2seq

Sequence to Sequence Learning with Keras

sequence-semantic-embedding icon sequence-semantic-embedding

Tools and recipes to train models and build services for NLP tasks such as classification, search ranking, cross-lingual information retrieval, and question answering etc.

serve icon serve

Serve, optimize and scale PyTorch models in production

server icon server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

serving icon serving

A flexible, high-performance serving system for machine learning models

simclr icon simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

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