pamperxg

pamperxg's Stars

• xuanjixiao/onerec

  在常规推荐系统算法和系统双优化的范式下，一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合，提出了OneRec算法，希望通过平台或外部各种各样的信息来进行知识集成，打破数据孤岛，极大扩充推荐的“Extra World Knowledge”。 已实践的算法包括行为数据，内容描述，社交信息，知识图谱等。在OneRec，每种信息和整体算法的集成是可插拔的，这样的话一方面方便大家在自己的平台数据下灵活组合各种信息，另一方面方便开源共建，大家可以在上边集成自己的各种算法。今天分享的都是之前在线上验证过效果的工作，相关代码和论文已经开源在：。欢迎大家开源共建。

  Language:Python9320

• WLiK/LLM4Rec-Awesome-Papers

  A list of awesome papers and resources of recommender system on large language model (LLM).

  1.3k108

• antmachineintelligence/mtgbmcode

  mtgbmcode

  Language:C++16441

• twitter/the-algorithm-ml

  Source code for Twitter's Recommendation Algorithm

  Language:Python10.1k2.2k

• MingchaoZhu/DeepLearning

  Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

  Language:Python6.4k1.3k

• mrchor/HiNet

  Source code for paper: HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction

  Language:Python6319

• bojone/shuffle

  Python下shuffle几百G文件

  Language:Python331

• alibaba/EasyNLP

  EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

  Language:Python2k251

• Doragd/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）

  Language:Python2.3k292

• taki0112/Tensorflow-Cookbook

  Simple Tensorflow Cookbook for easy-to-use

  Language:Python2.8k472

• faif/python-patterns

  A collection of design patterns/idioms in Python

  Language:Python40.3k6.9k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.8k25.3k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python36.7k5.8k

• DasyDong/developer-roadmap

  developer-roadmap

  Language:Python2k260

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19k3.1k

• CAN-Paper/Co-Action-Network

  Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

  Language:Python21058

• huangsg1/uncertainty-calibration

  A collection of research and application papers of (uncertainty) calibration techniques.

  30552

• allenai/tango

  Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.

  Language:Python52946

• CYang828/transformer-all-in-one

  Language:Jupyter Notebook26244

• google/lifetime_value

  Language:Jupyter Notebook31884

• Willofd101/ziln_cltv

  A python package to train & evaluate Customer Lifetime Value(CLTV) models using Neural Networks & ZILN loss(developed by google)

  Language:Python212

• nihalsangeeth/behaviour-seq-transformer

  Pytorch implementation of "Behaviour Sequence Transformer for E-commerce Recommendation" as a seq2seq predictor.

  Language:Python218

• jiwidi/Behavior-Sequence-Transformer-Pytorch

  This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

  Language:Jupyter Notebook14530

• cbamls/AI_Tutorial

  精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

  3.1k480

• ShowMeAI-Hub/multi-task-learning

  TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset

  Language:Jupyter Notebook17639

• LYuhang/GNN_Review

  GNN综述阅读报告

  Language:Jupyter Notebook873216

• huawei-noah/benchmark

  Language:HTML27469

• MLWave/Kaggle-Ensemble-Guide

  Code for the Kaggle Ensembling Guide Article on MLWave

  Language:Python1.5k557

• ChenglongChen/tensorflow-DeepFM

  Tensorflow implementation of DeepFM for CTR prediction.

  Language:Python2k808

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python133k26.7k