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summarization-dpp-capsnet

summarunner

The PyTorch Implementation of SummaRuNNer

supervised-product-similarity

Neural network for classifying whether two product titles represent the same entity

surf2016

svdfeature_dmlc

SVDFeature with parameter server for recommendation

switchingbandit

Switching bandit thesis

sword-for-offer

使用Python3用优雅的方式实现《剑指Offer》中的题目。

synapse-ai-retail-recommender

This Solution Accelerator is an end-to-end example on how to enable personalized customer experiences for retail scenarios by leveraging Azure Synapse Analytics, Azure Machine Learning Services, and other Azure Big Data services

syrenn

SyReNN: Symbolic Representations for Neural Networks

system-design

系统设计面试题精选

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

system_design

Preparation links and resources for system design questions

system_papers

System Design Papers.

t-lstm

Time-Aware LSTM

taan-mtl

Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning

tabnet

PyTorch implementation of TabNet paper

tabular_automl_nni

PAKDD AutoML challenge 2nd Feature Engineering Part

tagger_rewriter

对话改写介绍文章

tagspace-pytorch

Pytorch implementation of #TagSpace by Facebook

tagspace-tensorflow

Tensorflow implementation of Facebook TagSpace

tame

tantan-recommendation-diversity

探探项目 - 提升推荐系统的推荐多样性

tar

Towards Question-Based High-Recall Information Retrieval: Locating the Last Few Relevant Documents for Technology Assisted Reviews

taranis

Similarity search engine built around Faiss library

tas-balanced-dense-retrieval

SIGIR 2021: Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

taskflow

Modern C++ Parallel Task Programming

taskgrouping

Code for Which Tasks Should Be Learned Together in Multi-task Learning?

tdar

code for KDD paper Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation

tdgmn

tds_black_box_models_more_explainable

Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in Towards Data Science: https://towardsdatascience.com/black-box-models-are-actually-more-explainable-than-a-logistic-regression-f263c22795d