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ai-study-plan

The way to learn AI.

algorithm-practice-in-industry

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

algorithm_progression_path

This repository is used to record some algorithm questions.

autopic

A repository for automatic mapping of research images.

awesome-contrastive-learning-and-data-augmentation-rs-paper-code

The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

awesome-feature-engineering

Some amazing feature engineering knowledge.

awesome-interview-experience

Some amazing interview experience.

awesome-papers

some amazing papers

awesome-pdf

some amazing pdf for learning

awesome-resources

This repository contains datasets for deep model training, AI-related competitions, websites for learning AI for free, online brush-ups, outsourcing websites, some tools you can use to do research, build, and some open-source tools.

awesome-tricks

some amazing tricks for deep learning

bicltts

Bi-level Cntrastive Learning for Text-to-Speech

byo-llm-fz2o

The repository contains data for LLM training and evaluation, LLM models, pre-training, fine-tuning, inference, deployment, applications, and a number of popular repositories about LLM, which can be called as 'Build Your Own LLM from Zero to One'.

chickchit

a construction about TCP/UDP chatroom with QT QML C++ and Flego

cl4srl

A self-supervised framework for Text-to-Speech

competition-baseline

数据科学竞赛知识、代码、思路

datagenerate

A data generate demo

deep-ctr-prediction

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

deeprec

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

deepreccode

This respository is used to log some deep learning based recommendation models.

driver-behaviour-identification

A data analysis for driver-behaviour-identification

games

Logging some competitions in the field of data mining.

gdcn

The code of GDCNv2

happy-lab

A happy way for research!

icsrec

[WSDM 2024 Oral] This is our Pytorch implementation for the paper: "Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation".

mclrec

[SIGIR 2023 Oral] This is our Pytorch implementation for the paper: "Meta-optimized Contrastive Learning for Sequential Recommendation".

mmsrec

mobile-office-automation-system

Mobile office automation system

movies_recommend

movie recommender system in use Collaborative Filtering / 基于协同过滤的电影推荐系统

one-card

校园生活网站管理系统