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IntuitionMachines

IntuitionMachines

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IntuitionMachines's repositories

OrigamiNet

Public implementation of our CVPR Paper "OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page TextRecognition by learning to unfold"

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aks-engine

AKS Engine: Units of Kubernetes on Azure!

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alpine-sqs

Dockerized ElasticMQ server + web UI over Alpine Linux for local development

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bats-assert

Common assertions for Bats

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charts

Curated applications for Kubernetes

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cp-helm-charts

The Confluent Platform Helm charts enable you to deploy Confluent Platform services on Kubernetes for development, test, and proof of concept environments.

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event-reporter

A Python wrapper for backend reporting via a worker/queue system.

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example-seldon

Example for end-to-end machine learning on Kubernetes using Kubeflow and Seldon Core

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k8s-ethereum

Ethereum Nodes in Kubernetes

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libbase58

C library for base58 encoding

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pgbouncer

Docker container with latest release of pgbouncer

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polyaxon-chart

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

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redis

Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, HyperLogLogs, Bitmaps.

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redis-tools

Python abstraction classes for Redis

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volta

Code and data for the framework in "Multimodal Pretraining Unmasked: Unifying the Vision and Language BERTs", arXiv preprint arXiv:2011.15124.

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bats

Bash Automated Testing System

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bats-file

Common filesystem assertions for Bats

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brave-core

Core engine for the Brave browser for macOS, Windows, Linux, and eventually Android. For the issue log, please see https://github.com/brave/brave-browser

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example_kubeflow_pytorch

A PyTorch CIFAR10 tutorial implementation using python scripts to run on kubeflow pipelines.

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react-hcaptcha

hCaptcha Component Library for ReactJS

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SynthText

Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

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