4paradigm / OpenEmbeddingLinks
OpenEmbedding is an open source framework for Tensorflow distributed training acceleration.
☆33Updated 2 years ago
Alternatives and similar repositories for OpenEmbedding
Users that are interested in OpenEmbedding are comparing it to the libraries listed below
Sorting:
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆159Updated last year
- HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of…☆173Updated 3 weeks ago
- ☆56Updated 2 years ago
- A high-performance serving system for DeepRec based on TensorFlow Serving.☆19Updated last year
- A lightweight parameter server interface☆83Updated 2 years ago
- TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.☆97Updated 2 years ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆269Updated 2 years ago
- High performance RDMA-based distributed feature collection component for training GNN model on EXTREMELY large graph☆55Updated 3 years ago
- demo applications that show how to deploy offline feature engineering solutions to online in one minute with fedb and nativespark☆35Updated last year
- Mobius is an AI infrastructure platform for distributed online learning, including online sample processing, training and serving.☆100Updated last year
- Fault-tolerant for DL frameworks☆70Updated 2 years ago
- libhdfs3 a native c/c++ hdfs client☆50Updated last year
- Automatic tuning for ML model deployment on Kubernetes☆81Updated 11 months ago
- Pafka is originated from the OpenAIOS project to leverage an optimized tiered storage access strategy to improve overall performance for …☆67Updated 3 years ago
- A computation-centric distributed graph processing system.☆327Updated 4 years ago
- Building Machine Learning Infrastructure!☆45Updated 6 years ago
- ☆221Updated 2 years ago
- GPU-scheduler-for-deep-learning☆210Updated 4 years ago
- MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrat…☆99Updated 11 months ago
- The DGL Operator makes it easy to run Deep Graph Library (DGL) graph neural network training on Kubernetes☆44Updated 4 years ago
- BytePS examples (Vision, NLP, GAN, etc)☆19Updated 2 years ago
- Graph-based Approximate Nearest Neighbor Search Working off CGraph☆37Updated last year
- Key/Value Datastore for Persistent Memory☆27Updated 4 years ago
- A Benchmark for Real-Time Relational Data Feature Extraction (VLDB'23 Best Industry Paper Runnerup)☆51Updated 2 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆324Updated 2 months ago
- A general-purpose, distributed graph random walk engine.☆109Updated 2 years ago
- Fine-grained GPU sharing primitives☆146Updated 2 months ago
- Elastic Deep Learning for deep learning framework on Kubernetes☆174Updated 2 years ago
- distributed-embeddings is a library for building large embedding based models in Tensorflow 2.☆46Updated 2 years ago
- Grasper: A High Performance Distributed System for OLAP on Property Graphs.☆30Updated 4 years ago