MindsDB Inc (mindsdb)

MindsDB Inc

mindsdb

Geek Repo

The platform for customizing AI from enterprise data

Location:Berkeley, CA

Home Page:mindsdb.com

Twitter:@MindsDB

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MindsDB Inc's repositories

mindsdb

The platform for building AI from enterprise data

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lightwood

Lightwood is Legos for Machine Learning.

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mindsdb_sql

SQL parser and planner used by MindsDB

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mindsdb-docs-old

Current MindsDB Docs are migrated to MindsDB repository

mindsdb-examples

Examples for usage of Mindsdb https://www.mindsdb.com/

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mindsdb_python_sdk

The Python SDK for MindsDB Server

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dbt-mindsdb

dbt adapter for connecting to MindsDB

type_infer

Type inference for Machine Learning pipelines

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mindsdb-js-sdk

Official JavaScript SDK for MindsDB

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datasources

:electric_plug: :mailbox_with_mail: Supported datasources for MindsDB :electric_plug: :mailbox_with_mail:

otto

minimalistic library for building intelligent AI Agents straight from Python Objects

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mindsdb_forecast_visualizer

:chart_with_downwards_trend: Open-source charting library to help you visualize MindsDB forecasts :chart_with_upwards_trend:

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mindsdb_js_sdk

DEPRICATED

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dataprep_ml

Automated dataframe analysis for Machine Learning pipelines.

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mindsdb_evaluator

Model evaluation for Machine Learning pipelines.

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open-sigmoid

Open Source codebase of SIGMOID, the Scalable Infrastructure for Generic Model Optimization on Inhomogeneous Datasets

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mindsdb-docker-extension

The Official MIndsDB Extension for Docker Desktop.

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js-example

Example of building a ML web application using the JavaScript SDK

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benchmarks

Public dataset benchmarks used for measuring the performance of MindsDB.

hashnode-starter-kit

A Blog Starter Kit built with Hashnode's GraphQL Public APIs

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mindsdb-con-23-demos

Demos shown at the MindsDB AI Developer Convention 2023

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email_rag

Repo to try and build an incredible RAG system over email (this is to test the SOTA in RAG)

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WorkBench

WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting. Under review

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bertype

Column type infenrece using BERT

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