DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
machine-learning
deep-learning
pytorch
gpu
compression
billion-parameters
data-parallelism
inference
mixture-of-experts
model-parallelism
pipeline-parallelism
trillion-parameters
zero
Обновлено 2024-11-20 04:04:47 +03:00
An experimental parallel training platform
Обновлено 2024-03-25 08:26:11 +03:00
📰 Fast, parallel feed updater for the News app; written in Python
Обновлено 2021-12-11 17:06:15 +03:00
This is the implementation of CVPR'19 paper "SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking"
Обновлено 2019-08-30 11:13:05 +03:00
High scale Redis RQ based parallel job processing example written in Python running on Azure Linux VMs.
Обновлено 2018-03-16 21:54:55 +03:00
Walkthrough demonstrating how trained DNNs (CNTK and TensorFlow) can be applied to massive image sets in ADLS using PySpark on Azure HDInsight clusters
Обновлено 2017-09-06 22:46:02 +03:00