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
A Dataset of Python Challenges for AI Research
Обновлено 2023-12-21 00:10:56 +03:00
Simplify HPC and Batch workloads on Azure
azure
docker
azure-functions
containers
serverless
gpu
azure-batch
hpc
infiniband
windows-containers
mpi
slurm
rdma
batch-processing
glusterfs
nfs
singularity
Обновлено 2023-03-21 00:31:21 +03:00
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Обновлено 2022-11-28 22:09:42 +03:00
Svirl is GPU-accelerated solver of complex Ginzburg-Landau equations for superconductivity. It consists of time-dependent solver to describe vortex dynamics and free energy minimizer to accurately find static configurations.
Обновлено 2021-07-23 21:41:12 +03:00
Distributed Deep Learning using AzureML
Обновлено 2019-11-19 05:28:26 +03:00