Alternatives and similar repositories for nann

Users that are interested in nann are comparing it to the libraries listed below

• Tencent / embedx
  embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等
  ☆313Updated last year
• Qihoo360 / tensornet
  a TensorFlow-based distributed training framework optimized for large-scale sparse data.
  ☆332Updated this week
• xswang / xflow
  Distributed LR、 FM model on Parameter Server. FTRL and SGD Optimization Algorithm.
  ☆224Updated 7 years ago
• bytedance / LargeBatchCTR
  Large batch training of CTR models based on DeepCTR with CowClip.
  ☆172Updated 2 years ago
• huangsg1 / Internet-advertising-mechanism-and-strategy
  计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)
  ☆181Updated last year
• alibaba / TorchEasyRec
  An easy-to-use framework for large scale recommendation algorithms.
  ☆287Updated last week
• DeepRec-AI / DeepRec
  DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foun…
  ☆1,151Updated 11 months ago
• fukang93 / YCDL
  DNN framework based on ps-lite
  ☆30Updated 4 years ago
• Tencent / deepx_core
  deepx_core是一个专注于张量计算/深度学习的基础库
  ☆380Updated 8 months ago
• jdcomsearch / poeem
  A library for end-to-end learning of embedding index and retrieval model
  ☆62Updated 4 years ago
• massquantity / dismember
  Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.
  ☆74Updated 8 months ago
• CastellanZhang / alphaFM
  Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.
  ☆908Updated 4 years ago
• DeepRec-AI / HybridBackend
  A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster
  ☆159Updated last year
• alibaba / FeatureGenerator
  ☆40Updated 4 years ago
• stasi009 / NumpyWDL
  Implement Wide & Deep algorithm by using NumPy
  ☆155Updated 6 years ago
• large-scale-recsys-in-action / large-scale-recsys-in-action
  ☆46Updated 3 years ago
• alibaba / RecIS
  A unified architecture deep learning framework designed specifically for ultra-large-scale sparse models.
  ☆277Updated last month
• yinsn / ParaDance
  Offers a toolset for comprehensive, multi-faceted large-scale data analysis and optimizations
  ☆72Updated 2 months ago
• Angel-ML / PyTorch-On-Angel
  PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.
  ☆168Updated 2 months ago
• CAN-Paper / Co-Action-Network
  Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
  ☆227Updated 4 years ago
• kangshantong / ps-dnn
  这是一个基于参数服务器（Parameter Server）PS-Lite的分布式深度学习训练和预测框架。This is a model training and prediction framework.1) It includes a complete set of pr…
  ☆29Updated 3 years ago
• DSXiangLi / CTR
  CTR模型代码和学习笔记总结
  ☆396Updated 4 years ago
• jony0917 / tensorflow-extend-framework
  tensorflow extend framework
  ☆13Updated 5 years ago
• talentlei / PaperList
  report reading paper list
  ☆92Updated 6 years ago
• UIC-Paper / MIMN
  ☆291Updated 6 years ago
• fly-adser / home_for_adser
  some useful papers and blogs for people who are interested in online advertising
  ☆75Updated 3 years ago
• laming-chen / fast-map-dpp
  Fast Greedy MAP Inference for DPP
  ☆129Updated 5 years ago
• cnkuangshi / LightCTR
  Lightweight and Scalable framework that combines mainstream algorithms of Click-Through-Rate prediction based computational DAG, philosop…
  ☆673Updated 6 years ago
• stasi009 / Recommend-Estimators
  Classical RecSys algorithms implemented by using TensorFlow Estimators
  ☆184Updated 7 years ago
• 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 Knowl…
  ☆213Updated last week