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Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

biopython icon biopython

Official git repository for Biopython (converted from CVS)

blazingsql icon blazingsql

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

cub icon cub

CUB is a flexible library of cooperative threadblock primitives and other utilities for CUDA kernel programming.

cudf icon cudf

cuDF - GPU DataFrame Library

dask icon dask

Parallel computing with task scheduling

dask-gateway icon dask-gateway

A multi-tenant server for securely deploying and managing Dask clusters.

datasets icon datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deepspeed icon deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

dfftlib icon dfftlib

Distributed FFT with configurable backend

groqflow icon groqflow

GroqFlow provides an automated tool flow for compiling machine learning and linear algebra workloads into Groq programs and executing those programs on GroqChip™ processors.

h-transformer-1d icon h-transformer-1d

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

hip icon hip

HIP : Convert CUDA to Portable C++ Code

hipcub icon hipcub

Reusable software components for rocm developers

hipper icon hipper

A GPU runtime compatibility layer for CUDA and HIP

hoomd-blue icon hoomd-blue

Molecular dynamics and Monte Carlo soft matter simulation on GPUs.

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