PersiaML / PERSIALinks
High performance distributed framework for training deep learning recommendation models based on PyTorch.
☆408Updated 2 months ago
Alternatives and similar repositories for PERSIA
Users that are interested in PERSIA are comparing it to the libraries listed below
Sorting:
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,023Updated 5 months ago
- Bagua Speeds up PyTorch☆884Updated last year
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆157Updated last year
- ☆56Updated last year
- This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …☆194Updated 3 years ago
- Large batch training of CTR models based on DeepCTR with CowClip.☆170Updated 2 years ago
- ☆220Updated 2 years ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆267Updated 2 years ago
- HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of…☆165Updated this week
- Running BERT without Padding☆474Updated 3 years ago
- DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foun…☆1,121Updated 7 months ago
- Simple Distributed Deep Learning on TensorFlow☆133Updated 2 months ago
- Examples for Recommenders - easy to train and deploy on accelerated infrastructure.☆113Updated last week
- PyTorch On Angel, arming PyTorch with a powerful Parameter Server, which enable PyTorch to train very big models.☆168Updated last month
- DeepLearning Framework Performance Profiling Toolkit☆287Updated 3 years ago
- distributed-embeddings is a library for building large embedding based models in Tensorflow 2.☆45Updated last year
- deepx_core是一个专注于张量计算/深度学习的基础库☆379Updated 4 months ago
- A tensor-aware point-to-point communication primitive for machine learning☆262Updated last week
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆297Updated last year
- a TensorFlow-based distributed training framework optimized for large-scale sparse data.☆329Updated last month
- ☆588Updated 7 years ago
- A memory efficient DLRM training solution using ColossalAI☆105Updated 2 years ago
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,095Updated 11 months ago
- A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.☆165Updated 7 months ago
- Resource-adaptive cluster scheduler for deep learning training.☆446Updated 2 years ago
- ☆392Updated 2 years ago
- A lightweight parameter server interface☆81Updated 2 years ago
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆301Updated 2 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆319Updated 3 weeks ago
- Guide for building custom op for TensorFlow☆382Updated 2 years ago