Pinned Repositories
arrow
Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing
cylon
Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.
twister2
A composable framework for fast and scalable data analytics
velox
A C++ vectorized database acceleration library aimed to optimizing query engines and data processing systems.
substrait
A cross platform way to express data transformation, relational algebra, standardized record expression and plans.
Benchmarks
ECP-CANDLE Benchmarks
cylon
Cylon is a fast, scalable distributed memory data parallel library for processing structured data
cylon_applications
mpi4tf
A Distributed Training Framework for Tensorflow
mpi_basics
Dedicated to MPI Basics
vibhatha's Repositories
vibhatha/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
vibhatha/mpi4tf
A Distributed Training Framework for Tensorflow
vibhatha/torchbenchmark
Internal Operation Overheads
vibhatha/AISC-Benchmarks-PyTorch
DNN training benchmarks in PyTorch
vibhatha/AllReduceBenchmark
AllReduce Benchmark
vibhatha/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
vibhatha/chainer
A flexible framework of neural networks for deep learning
vibhatha/dask
Parallel computing with task scheduling
vibhatha/DeepLearningExamples
Deep Learning Examples
vibhatha/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
vibhatha/edl
Elastic Deep Learning using PaddlePaddle and Kubernetes
vibhatha/elastic
PyTorch elastic training
vibhatha/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
vibhatha/modin
Modin: Speed up your Pandas workflows by changing a single line of code
vibhatha/mycythonlib
vibhatha/nccl-tests
NCCL Tests
vibhatha/petastorm
Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
vibhatha/pip-packaging
Example Pip Package Tutorial [Following Standard Pip Docs]
vibhatha/pipedream
vibhatha/pybind11_example
vibhatha/pybindlib
Example PyBind Package
vibhatha/sciml-benchmarks
A suite of machine learning benchmarks for AI for Science
vibhatha/tensorpipe
A tensor-aware point-to-point communication primitive for machine learning
vibhatha/tfx
TFX is an end-to-end platform for deploying production ML pipelines
vibhatha/TimelineGraphTool
Drawing Timeline Graphs
vibhatha/torchgpipe
A GPipe implementation in PyTorch
vibhatha/twister2
Twister2 Big Data Hosting Environment: A composable framework for high-performance data analytics
vibhatha/twister2flow
Integrating Twister2 with external Computation Engines
vibhatha/UnoPytorch
Multi-tasking (drug response, cell line classification, etc.) Uno Implemented in PyTorch.
vibhatha/zyplots
ZyPlots