985_work (zhangqianjin)

zhangqianjin

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GLUE-baselines

[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations

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GAN-based-Recommender-System

State-of-the-art Papers on GAN-based Recommender System (2017~2020)

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tensorflow2_tutorials_chinese

tensorflow2中文教程,持续更新(当前版本:tensorflow2.0),tag: tensorflow 2.0 tutorials

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GRU4Rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

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BERT-pytorch

Google AI 2018 BERT pytorch implementation

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fast-map-dpp

Fast Greedy MAP Inference for DPP

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serve

Model Serving on PyTorch

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SparkCTR

CTR prediction model based on spark(LR, GBDT, DNN)

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adaptivesoftmax_torch

adaptive softmax implemented by torch

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BERT4Rec

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

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SLIM

High-performance implementation of SLIM-based approaches for Top-N recommendation

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nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

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Interview

Interview = 简历指南 + LeetCode + Kaggle

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LearningDeeply

keep reading papers deeply

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ML-NLP

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。

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d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

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PyTorch_GBW_LM

PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset

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leetCode-1

:pencil2: 算法相关知识储备 LeetCode with Python :books:

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pytorch-transformers

👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)

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DeepCTR

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

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pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

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SIF

sentence embedding by Smooth Inverse Frequency weighting scheme

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Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

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Reco-papers

Classic papers and resources on recommendation

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pytorch-fm

Factorization Machine models in PyTorch

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FTRLp

Pure Python implementation of the Follow The Regularized Leader - Proximal algorithm

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Collaborative-Filtering-PySpark-MovieLens

PySpark implementation for UserCF and ItemCF on MovieLens

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pytorch-pretrained-BERT_annotation

bert annotation, input and output for people from scratch, 代码注释, 有每一步的输入和输出, 适合初学者

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