noodlefrenzy/ImageRecognitionInKeras noodlefrenzy/ImageRecognitionInKeras

  • Stars
    star
    6
  • Rank 2,539,965 (Top 51 %)
  • Language
    Python
  • License
    MIT License
  • Created about 7 years ago
  • Updated almost 7 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
noodlefrenzy/ImageRecognitionInKeras
github

noodlefrenzy

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A few simple scripts to help you train and evaluate Transfer Learning-based custom image recognition models.

More Repositories

1

node-amqp10

amqp10 is a promise-based, AMQP 1.0 compliant node.js client
JavaScript
134
star
2

CognitiveServicesTutorial

Cognitive Services Tutorial for AI Immersion Workshop 2017
C#
27
star
3

easy-tensorflow-multimodel-server

Simple to run server for multiple TensorFlow Object Detection models
Python
22
star
4

promptgen

CLI for managing and generating Foundation Model prompts
TypeScript
20
star
5

NikkeiAISummit2019

Deck and supporting content for talk at Nikkei AI Summit - 2019.04.22
9
star
6

azure-mobile-local

Easy way to run Node.js-based Azure Mobile Service locally and write unit-tests for it.
JavaScript
8
star
7

asp-mappy

Example of wiring up SignalR to connect an EventHub receiving GPS data to a Leaflet map rendering it.
JavaScript
8
star
8

SocialGoodAtCloudScale

Social Good at Cloud Scale - a talk at MLPrague 2018, and supporting materials.
7
star
9

event-hub-client

JavaScript
6
star
10

image-to-entities

C# using Project Oxford to convert images to entities via Vision API's OCR => LUIS
C#
5
star
11

MLTokyo2019Talk

Presentation and supporting materials for my talk to the MLTokyo group in November of 2019
4
star
12

ReactiveStorm

C# Storm bolts using Reactive framework
C#
4
star
13

node-cerulean

Wrappers, utilities, etc. for making working with Azure and Azure Storage even easier in Node.js
JavaScript
3
star
14

StrataDataLondon2018

Content for the talk Elena Terenzi and I gave at Strata Data in London on 24-May-2018.
Jupyter Notebook
3
star
15

node-amqp10-transport-ws

Provides a Websocket implementation for the transport layer for node-amqp10.
JavaScript
3
star
16

node-sbus-amqp10

Adapter for node-sbus module to use the node-amqp-1-0 (no native code) module for all AMQP-related calls.
JavaScript
2
star
17

msready2017

Talk and supporting material for Microsoft Ready 2017
Jupyter Notebook
1
star
18

arxiv_bot

Bot Framework bot for interacting with arXiv.org
JavaScript
1
star
19

chatrunner

TypeScript
1
star
20

LanguageJunkie

Code samples from languagejunkie.wordpress.com
1
star
21

deep-learning-on-windows

Supporting code for my post on installing/running deep learning frameworks on Windows.
Python
1
star
22

node-amqp-encoder

Helper classes for specifying a simple mechanism to encode data into AMQP format, and a simple encoder.
JavaScript
1
star
23

DecodedSparkML

SparkML example code for the Decoded Conference 2016
Python
1
star
24

memoize-express

Memoize Expressjs requests using delegated caching provider (defaults to lru-cache)
JavaScript
1
star
25

asp-blob-uploader

Example of how to upload form file data to blob storage without using local file storage.
C#
1
star
26

text-classification-four-ways

Code, notebooks and data for my blog series on text classification four ways
1
star