4Paradigm

4Paradigm's repositories

OpenMLDB

OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.

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AutoX

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

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OpenAIOS vGPU device plugin for Kubernetes is originated from the OpenAIOS project to virtualize GPU device memory, in order to allow applications to access larger memory space than its physical capacity. It is designed for ease of use of extended device memory for AI workloads.

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openaios-platform

OpenAIOS is an incubating open-source distributed OS kernel based on Kubernetes for AI workloads. OpenAIOS-Platform is an AI development platform built upon OpenAIOS for enterprises to develop and deploy AI applications for production.

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pafka

Pafka is originated from the OpenAIOS project to leverage an optimized tiered storage access strategy to improve overall performance for streaming/messaging system.

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DemoApps

demo applications that show how to deploy offline feature engineering solutions to online in one minute with fedb and nativespark

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OpenEmbedding

OpenEmbedding is an open source framework for Tensorflow distributed training acceleration.

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pmemstore

Key/Value Datastore for Persistent Memory

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pskiplist

An implementation of the persistent skiplist based on Intel Optane Persistent Memory. It is with Intel's pmemkv as an storage engine

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zetasql

ZetaSQL - Analyzer Framework for SQL

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canopy

Canopy is a machine learning learning compiler stack with the capability of adopting high-end FPGAs. As a part of OpenAIOS project, Canopy is an evolved version of Apache TVM. Canopy is able to support a variety of hardware backends such as PCIE-based cloud FPGAs, CPUs and GPUs.

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FeatInsight

FeatInsight is a feature platform based on OpenMLDB

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spark

This is OpenMLDB's Spark Distribution, which is particularly optimized for feature extraction. It includes a few novel techniques, such as native implementation of last join and multi-window parallelization. Its APIs are fully compatible with the standard Spark. It is designed to be a component of OpenMLDB (https://github.com/4paradigm/OpenMLDB).

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