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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.

awesome-ddd icon awesome-ddd

A curated list of Domain-Driven Design (DDD), Command Query Responsibility Segregation (CQRS), Event Sourcing, and Event Storming resources

awesome-nlp icon awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

bd icon bd

ansible playbook for deploying data labs

bert icon bert

TensorFlow code and pre-trained models for BERT

bytenet icon bytenet

A tensorflow implementation of French-to-English machine translation using DeepMind's ByteNet .

cirq icon cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

cloud-debug-nodejs icon cloud-debug-nodejs

Node.js agent for Stackdriver Debugger: investigate your code’s behavior in production

cpustat icon cpustat

high frequency performance measurements for Linux

cuml icon cuml

cuML [alpha] - RAPIDS Machine Learning Library

dask_gdf icon dask_gdf

Dask support for distributed GDF object

datalab icon datalab

Interactive tools and developer experiences for Big Data on Google Cloud Platform.

daytona icon daytona

An application-agnostic framework for automated performance testing and analysis.

deepspeech icon deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

dr-elephant icon dr-elephant

Dr. Elephant is a job and flow-level performance monitoring and tuning tool for Apache Hadoop and Apache Spark

ecosystem icon ecosystem

Integration of TensorFlow with other open-source frameworks

facets icon facets

Visualizations for machine learning datasets

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