lsds / KungFuLinks
Fast and Adaptive Distributed Machine Learning for TensorFlow, PyTorch and MindSpore.
☆297Updated last year
Alternatives and similar repositories for KungFu
Users that are interested in KungFu are comparing it to the libraries listed below
Sorting:
- ☆393Updated 2 years ago
- Simple Distributed Deep Learning on TensorFlow☆133Updated last month
- CS294; AI For Systems and Systems For AI☆224Updated 5 years ago
- A lightweight parameter server interface☆80Updated 2 years ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆267Updated 2 years ago
- Resource-adaptive cluster scheduler for deep learning training.☆447Updated 2 years ago
- GPU-scheduler-for-deep-learning☆210Updated 4 years ago
- PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications☆127Updated 3 years ago
- Fine-grained GPU sharing primitives☆143Updated last week
- ☆83Updated last month
- Model-less Inference Serving☆90Updated last year
- An Efficient Pipelined Data Parallel Approach for Training Large Model☆77Updated 4 years ago
- Tiresias is a GPU cluster manager for distributed deep learning training.☆156Updated 5 years ago
- Kubernetes Scheduler for Deep Learning☆263Updated 3 years ago
- ddl-benchmarks: Benchmarks for Distributed Deep Learning☆36Updated 5 years ago
- BytePS examples (Vision, NLP, GAN, etc)☆19Updated 2 years ago
- Systems for ML/AI & ML/AI for Systems paper reading list: A curated reading list of computer science research for work at the intersectio…☆278Updated 2 months ago
- DeepLearning Framework Performance Profiling Toolkit☆285Updated 3 years ago
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆409Updated last month
- Elastic Deep Learning for deep learning framework on Kubernetes☆174Updated 2 years ago
- Code for "Heterogenity-Aware Cluster Scheduling Policies for Deep Learning Workloads", which appeared at OSDI 2020☆127Updated last year
- ☆588Updated 7 years ago
- NCCL Fast Socket is a transport layer plugin to improve NCCL collective communication performance on Google Cloud.☆119Updated last year
- A Deep Learning Cluster Scheduler☆39Updated 4 years ago
- Implementation of Parameter Server using PyTorch communication lib☆42Updated 6 years ago
- A tensor-aware point-to-point communication primitive for machine learning☆260Updated this week
- A high-performance distributed deep learning system targeting large-scale and automated distributed training.☆315Updated last week
- ☆22Updated 6 years ago
- sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data☆64Updated last year
- Enhanced networking support for TensorFlow. Maintained by SIG-networking.☆98Updated 3 years ago