transferflow | Transfer Learning for Tensorflow | Machine Learning library

by dominiek Python Version: 0.1.8 License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | transferflow Summary

transferflow is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. transferflow has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install transferflow' or download it from GitHub, PyPI.

Transfer Learning for Tensorflow

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Quality

Security

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Support

transferflow has a low active ecosystem.

It has 34 star(s) with 12 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

transferflow has no issues reported. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of transferflow is 0.1.8

Quality

transferflow has no bugs reported.

Security

transferflow has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

transferflow does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

transferflow releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed transferflow and discovered the below as its top functions. This is intended to give you an instant insight into transferflow implemented functionality, and help decide if they suit your requirements.

Inception v1
Conv1 layer
Wrapper for tf concat
Bottleneck bottleneck
2d convolutional layer
Subsample the input by factor
Interpolate w
Convert vec to index
Perform bilinear selection
Resnet v1
Resnet v1d
Stack block of blocks into dense tensors
ResNet v1
Generator function for loading data
Adjust annotated annotation
Prepares and resizes images
Make a sparse matrix
Convert box to x1 y2y coordinates

Get all kandi verified functions for this library.

transferflow Key Features

No Key Features are available at this moment for transferflow.

transferflow Examples and Code Snippets

Transfer Learning for Tensorflow,Example: Object Detection

Python

Lines of Code : 25

License : No License

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from transferflow.object_detection.trainer import Trainer

# Instantiate trainer with training data and configuration
scaffold_path = './test/fixtures/scaffolds/parking_lots'
base_model_path = './models/inception_v1'
trainer = Trainer(base_model_path

Transfer Learning for Tensorflow,Example: Classification

Python

Lines of Code : 18

License : No License

Copy

from transferflow.classification.trainer import Trainer

# Instantiate Trainer with training data, base model and configuration
scaffold_path = './test/fixtures/scaffolds/scene_type'
base_model_path = './models/inception_v3'
trainer = Trainer(base_mo

Transfer Learning for Tensorflow,Install by Source (Recommended)

Python

Lines of Code : 3

License : No License

Copy

pip install -r requirements.txt
make
make download

Community Discussions

Trending Discussions on transferflow

pip search finds tensorflow, but pip install does not

QUESTION

pip search finds tensorflow, but pip install does not

Asked 2020-Jan-23 at 06:55

I am trying to build a Django app that would use Keras models to make recommendations. Right now I'm trying to use one custom container that would hold both Django and Keras. Here's the Dockerfile I've written.

...

ANSWER

Answered 2019-Jan-02 at 22:56

It looks like tensorflow only publishes wheels (and only up to 3.6), and Alpine linux is not manylinux1-compatible due to its use of musl instead of glibc. Because of this, pip cannot find a suitable installation candidate and fails. Your best options are probably to build from source or change your base image.

Source https://stackoverflow.com/questions/54014076

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install transferflow

You can install using 'pip install transferflow' or download it from GitHub, PyPI.
You can use transferflow like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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