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a_journey_into_math_of_ml

汉语自然语言处理视频教程-开源学习资料

ali_bst_recommender

Sequential recommendations with transformers.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

bootstrap

Bootstrap

c2dsr

[CIKM 2022]Contrastive Cross-Domain Sequential Recommendation

cat-art-dataset-

One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation (WSDM-2023)

cdsrec

🔨 跨域序列推荐（Cross-Domain Sequential Recommendation）的算法工具箱，旨在提供序列推荐、跨域推荐、跨域序列方法的baseline实现。目前本工具箱已包括TiSASRec、CoNet、PINet、MIFN这四种方法的实现。

ctr_prediction

CTR prediction using FM FFM and DeepFM

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

examples-of-web-crawlers

python爬虫例子,对新手比较友好,主要爬取淘宝、天猫、微信、豆瓣、QQ等网站。

external-attention-pytorch

Pytorch implementation of various Attention Mechanism

fedrec

Data and code of our paper "Privacy-Preserving News Recommendation Model Learning"

ga-dtcdr-douban3domain-datas-

This is the model in "A Graphical and Attentional Framework for Dual-Target Cross-Domain Recommendation" (IJCAI2020). GA-DTCDR is an optimized model for DTCDR ("DTCDR: A Framework for Dual-Target Cross-Domain Recommendation" in CIKM2019).

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

gpt-paperreview

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

iclrec

interesting-python

有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)

introduction-to-machine-learning

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

iweb

Personal Web Test

iwebapplication

latex-paper-templates

Latex-format paper templates, including Elsevier, arXiv and IEEE Access.

master-thesis

BTH Finial

nlp-beginner

NLP上手教程

nlp-beginner-finish

此项目完成了关于 NLP-Beginner：自然语言处理入门练习 的所有任务，所有代码都经过测试,可以正常运行。

nlp-conferences-code

NLP-Conferences-Code (ACL、EMNL、NAACL、COLING、AAAI、IJCAI)

nlp_basic_model

some basic deep learning models/method for nlp, text classification.

or-pandas

【运筹OR帷幄|数据科学】pandas教程系列电子书

pic

ForMarkDownPic

picformd

MarkDownPic

python

All Algorithms implemented in Python