jepsonwong Goto Github PK

absa

ad-papers

Papers on Computational Advertising

advisor

Open-source implementation of Google Vizier for hyper parameters tuning

algonotes

【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容

algorithm

算法题总结

algorithm_competition

算法比赛-转化率预估、购买预测

alphafm

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

ann-benchmarks

Benchmarks of approximate nearest neighbor libraries in Python

anyq

FAQ-based Question Answering System

awesome-sgx

A curated list of SGX code and resources.

bert

bincfi

Stony Brook University CFI library

book

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

capsule

clipbert

[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.

comirec

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

computer_vision

计算机视觉

configor

Light weight configuration library for C++

corpus

数据集

crimekgassitant

Crime assistant including crime type prediction and crime consult service based on nlp methods and crime kg,罪名法务智能项目,内容包括856项罪名知识图谱, 基于280万罪名训练库的罪名预测,基于20W法务问答对的13类问题分类与法律资讯问答功能.

darknet

Convolutional Neural Networks

debiasedbert4rec

Pytorch implementation of the paper "Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers".

deep_learning_framework

PyTorch/Keras/TensorFlow 编程

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM)

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepmatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

diversify-mha

EMNLP 2018: Multi-Head Attention with Disagreement Regularization; NAACL 2019: Information Aggregation for Multi-Head Attention with Routing-by-Agreement

dssm

DSSM and Multi-View DSSM

emoji

emoji terminal output for Python