NVIDIA-Merlin / distributed-embeddingsLinks
distributed-embeddings is a library for building large embedding based models in Tensorflow 2.
☆44Updated last year
Alternatives and similar repositories for distributed-embeddings
Users that are interested in distributed-embeddings are comparing it to the libraries listed below
Sorting:
- HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of…☆156Updated 2 weeks ago
- http://vlsiarch.eecs.harvard.edu/research/recommendation/☆136Updated 2 years ago
- A tensor-aware point-to-point communication primitive for machine learning☆259Updated 2 years ago
- Python bindings for NVTX☆67Updated 2 years ago
- ☆392Updated 2 years ago
- Simple Distributed Deep Learning on TensorFlow☆133Updated 3 weeks ago
- Home for OctoML PyTorch Profiler☆113Updated 2 years ago
- ☆418Updated this week
- ☆145Updated 5 months ago
- PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for…☆147Updated last week
- NCCL Fast Socket is a transport layer plugin to improve NCCL collective communication performance on Google Cloud.☆117Updated last year
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆77Updated 4 years ago
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆158Updated last year
- Set of datasets for the deep learning recommendation model (DLRM).☆47Updated 2 years ago
- TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.☆94Updated 2 years ago
- WholeGraph - large scale Graph Neural Networks☆104Updated 7 months ago
- oneCCL Bindings for Pytorch*☆99Updated this week
- this is the release repository of superneurons☆52Updated 4 years ago
- Synthesizer for optimal collective communication algorithms☆108Updated last year
- Guide for building custom op for TensorFlow☆382Updated 2 years ago
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,016Updated 3 months ago
- Resource-adaptive cluster scheduler for deep learning training.☆445Updated 2 years ago
- Efficient Top-K implementation on the GPU☆181Updated 6 years ago
- ☆195Updated 2 years ago
- ☆43Updated last year
- Convert nvprof profiles into about:tracing compatible JSON files☆69Updated 4 years ago
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆408Updated last month
- A library of GPU kernels for sparse matrix operations.☆270Updated 4 years ago
- ☆55Updated last year
- A schedule language for large model training☆149Updated last year