Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.
☆271Mar 31, 2023Updated 2 years ago
Alternatives and similar repositories for EasyParallelLibrary
Users that are interested in EasyParallelLibrary are comparing it to the libraries listed below
Sorting:
- FastNN provides distributed training examples that use EPL.☆85Mar 11, 2022Updated 3 years ago
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆161Apr 20, 2024Updated last year
- GPU-scheduler-for-deep-learning☆210Nov 5, 2020Updated 5 years ago
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆918Dec 30, 2024Updated last year
- ☆219Aug 17, 2023Updated 2 years ago
- An experimental parallel training platform☆56Mar 25, 2024Updated last year
- DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foun…☆1,167Jan 21, 2025Updated last year
- TePDist (TEnsor Program DISTributed) is an HLO-level automatic distributed system for DL models.☆99Apr 22, 2023Updated 2 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆333Dec 13, 2025Updated 2 months ago
- A high performance and generic framework for distributed DNN training☆3,716Oct 3, 2023Updated 2 years ago
- Run your deep learning workloads on Kubernetes more easily and efficiently.☆531Mar 4, 2024Updated last year
- Training and serving large-scale neural networks with auto parallelization.☆3,183Dec 9, 2023Updated 2 years ago
- SOTA Learning-augmented Systems☆37May 21, 2022Updated 3 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆454Mar 5, 2023Updated 2 years ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆137Jul 25, 2024Updated last year
- Bagua Speeds up PyTorch☆884Aug 1, 2024Updated last year
- PyTorch distributed training acceleration framework☆54Aug 13, 2025Updated 6 months ago
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆75Dec 11, 2020Updated 5 years ago
- Byted PyTorch Distributed for Hyperscale Training of LLMs and RLs☆938Nov 27, 2025Updated 3 months ago
- ☆539Jun 7, 2024Updated last year
- LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training☆405Jul 31, 2025Updated 7 months ago
- Kubernetes Operator for AI and Bigdata Elastic Training☆91Jan 10, 2025Updated last year
- Fine-grained GPU sharing primitives☆148Jul 28, 2025Updated 7 months ago
- Model-less Inference Serving☆94Nov 4, 2023Updated 2 years ago
- Fast and easy distributed model training examples.☆12Nov 26, 2024Updated last year
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,045Sep 15, 2025Updated 5 months ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127May 9, 2022Updated 3 years ago
- Bamboo is a system for running large pipeline-parallel DNNs affordably, reliably, and efficiently using spot instances.☆55Dec 11, 2022Updated 3 years ago
- Kubernetes-native Deep Learning Framework☆746Jan 26, 2024Updated 2 years ago
- A high-performance distributed deep learning system targeting large-scale and automated distributed training. If you have any interests, …☆124Dec 18, 2023Updated 2 years ago
- Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.☆295Feb 23, 2024Updated 2 years ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,861Feb 20, 2026Updated last week
- A baseline repository of Auto-Parallelism in Training Neural Networks☆147Jun 25, 2022Updated 3 years ago
- Official repository for the paper DynaPipe: Optimizing Multi-task Training through Dynamic Pipelines☆19Dec 8, 2023Updated 2 years ago
- Machine Learning System☆14May 11, 2020Updated 5 years ago
- Some microbenchmarks and design docs before commencement☆12Feb 1, 2021Updated 5 years ago
- HierarchicalKV is a part of NVIDIA Merlin and provides hierarchical key-value storage to meet RecSys requirements. The key capability of…☆193Feb 20, 2026Updated last week
- An Industrial Graph Neural Network Framework☆1,339Jul 4, 2025Updated 7 months ago
- GLake: optimizing GPU memory management and IO transmission.☆498Mar 24, 2025Updated 11 months ago