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thred

The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"

thu-deephypergraph

A pytorch library for hypergraph learning.

thundergbm

ThunderGBM: Fast GBDTs and Random Forests on GPUs

tianchi_ogeek

在搜索业务下有一个场景叫实时搜索（Instance Search）,就是在用户不断输入过程中，实时返回查询结果。 此次赛题来自OPPO手机搜索排序优化的一个子场景，并做了相应的简化，意在解决query-title语义匹配的问题。简化后，本次题目内容主要为一个实时搜索场景下query-title的ctr预估问题。

time-aware-recommender

This block is some papers how to utilize complex temporal information in Sequential Recommendation or Session-base Recommendation At present, we have collected about twenty to thirty papers, mainly about KDD、CIKM、AAAI、SIGIR、WWW、WSDM、IJCAI, years:2018--2020

time2vec

This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)

tinyembedding

tinynn

a tiny neural network training framework, supporting large scale distributed parameter server which communicating with brpc

tips-of-feature-engineering

A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!

tisasrec

TensorFlow implementation for paper Time Interval Aware Self-Attention for Sequential Recommendation.

tkdnn

Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms

tldr

TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectiveness of recent self-supervised learning losses

tlsan

This is our implementation for our paper: TLSAN: Time-aware Long- and Short-term Attention Network for Next-item Recommendation

to_distill_or_not

model compression using bert and knowledge distillation

tod-bert

Pre-Trained Models for ToD-BERT

tongrams

The C++ library implementing the compressed data structures described in the paper "Efficient Data Structures for Massive N-Gram Datasets", by Giulio Ermanno Pibiri and Rossano Venturini, published in ACM SIGIR 2017.

tools

top-k-rec

A method collection for top-k recommendation

top2vec

Generate topic, document and word embeddings.

top_n_recommendation

Implementation of Local Item Item Models for Top N recommendations published in RecSys, 2016 Proceedings of the 10th ACM Conference on Recommender Systems.

tophat

Recommendation system in TensorFlow

topic-modeler

Framework to apply LDA and Biterm topic modelling to an unlabeled corpus

torchprof

PyTorch layer-by-layer model profiler

torchraylib

A CMake based integration of the RayLib library with the Libtorch C++ Deep Learning Library.

torecsys

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.

touringrec

towards-a-deep-and-unified-understanding-of-deep-neural-models-in-nlp

Code implementation of paper Towards A Deep and Unified Understanding of Deep Neural Models in NLP

tplinker-joint-extraction

tql-python

思维误区: 用理想模型来思考复杂现实问题

tr

Free Offline OCR 离线的中文文本检测+识别SDK