alibaba / RecISLinks
A unified architecture deep learning framework designed specifically for ultra-large-scale sparse models.
☆260Updated 2 weeks ago
Alternatives and similar repositories for RecIS
Users that are interested in RecIS are comparing it to the libraries listed below
Sorting:
- Examples for Recommenders - easy to train and deploy on accelerated infrastructure.☆177Updated this week
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆159Updated last year
- A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.☆167Updated 10 months ago
- HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of…☆181Updated last month
- An easy-to-use framework for large scale recommendation algorithms.☆270Updated last week
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆328Updated 4 months ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆270Updated 2 years ago
- The road to hack SysML and become an system expert☆500Updated last year
- DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foun…☆1,146Updated 10 months ago
- 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☆311Updated last year
- LLM training technologies developed by kwai☆66Updated last week
- TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.☆98Updated 2 years ago
- Large batch training of CTR models based on DeepCTR with CowClip.☆172Updated 2 years ago
- tensorflow源码阅读笔记☆192Updated 7 years ago
- HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling☆552Updated 3 months ago
- a TensorFlow-based distributed training framework optimized for large-scale sparse data.☆332Updated last month
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,037Updated 2 months ago
- Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (…☆1,582Updated this week
- ☆219Updated 2 years ago
- A PyTorch-like deep learning framework. Just for fun.☆156Updated 2 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆123Updated last year
- PyTorch distributed training acceleration framework☆53Updated 3 months ago
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆76Updated 4 years ago
- A baseline repository of Auto-Parallelism in Training Neural Networks☆147Updated 3 years ago
- ☆514Updated 2 weeks ago
- tensorflow extend framework☆13Updated 5 years ago
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆410Updated 5 months ago
- Zero Bubble Pipeline Parallelism☆437Updated 6 months ago
- 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…☆206Updated last week
- RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.☆934Updated this week