This repository contains a Ruby API for utilizing TensorFlow.

Overview

tensorflow.rb

Description

This repository contains a Ruby API for utilizing TensorFlow.

Linux CPU Linux GPU PIP Mac OS CPU
Build Status Not Configured Not Configured

Code Climate Join the chat at https://gitter.im/tensorflowrb/Lobby Inline docs

Documentation

Everything is at RubyDoc. You can also generate docs by bundle exec rake doc.

Blog Posts

  1. Introductory blog post
  2. Developers blog post
  3. Image Recognition Tutorial

Installation

Install Script

I have made a make shift install script in tools directory. You are free to use it, but it still needs some work and there is a chance that you might face some issues with it and if you do face some issues, you can use the instructions below. You are welcome to make improvements to the script.

Docker

It's easiest to get started using the prebuilt Docker container.

Launch:

docker run --rm -it nethsix/ruby-tensorflow-ubuntu:0.0.1 /bin/bash

Test:

cd /repos/tensorflow.rb/
bundle exec rspec

Image Classification Tutorial:

cd /repos/tensorflow.rb/image/
cat README

For more details about all the fun machine-learning stuff already pre-installed, see: https://hub.docker.com/r/nethsix/ruby-tensorflow-ubuntu/

Outside of Docker

Alternatively, you can install outside of a Docker container by following the following steps.

Explicit dependencies

Implicit dependencies (No Action Required)

Installation

All the dependencies mentioned above must be installed in your system before you proceed further.

Clone and Install TensorFlow

This package depends on the TensorFlow shared libraries, in order to compile these libraries do the following:

git clone --recurse-submodules https://github.com/tensorflow/tensorflow
cd tensorflow
./configure

This command clones the repository and a few sub modules. After this you should do:

bazel build -c opt //tensorflow:libtensorflow.so

This command takes in the order of 10-15 minutes to run and creates a shared library. When finished, copy the newly generated libtensorflow.so shared library:

# Linux
sudo cp bazel-bin/tensorflow/libtensorflow.so /usr/lib/
sudo cp bazel-bin/tensorflow/libtensorflow_framework.so /usr/lib   

# OSX
sudo cp bazel-bin/tensorflow/libtensorflow.so /usr/local/lib
sudo cp bazel-bin/tensorflow/libtensorflow_framework.so /usr/lib
export LIBRARY_PATH=$PATH:/usr/local/lib (may be required)

Install tensorflow.rb

Clone and install this Ruby API:

git clone https://github.com/somaticio/tensorflow.rb.git
cd tensorflow.rb/ext/sciruby/tensorflow_c
ruby extconf.rb
make
make install # Creates ../lib/ruby/site_ruby/X.X.X/
   
    /sciruby/Tensorflow.{bundle, so}
cd ./../../..
bundle install
bundle exec rake install

   

The last command is for installing the gem.

Run tests and verify install

bundle exec rake spec

This command is to run the tests.

Tensorboard

You can run tensorboard on tensorflow.rb too. Just take a look at tensorboard.md file.

License

Copyright (c) 2016, Arafat Dad Khan. somatic

All rights reserved.

Acknowledgements

Owner
somatic labs
machine learning consulting by Jason Toy
somatic labs
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai

Coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks an

Aman Chadha 1.7k Jan 08, 2023
Statsmodels: statistical modeling and econometrics in Python

About statsmodels statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics an

statsmodels 8.1k Jan 02, 2023
Anagram Generator in Python

Anagrams Generator This is a program for computing multiword anagrams. It makes no effort to come up with sentences that make sense; it only finds ana

Day Fundora 5 Nov 17, 2022
PointPillars inference with TensorRT

A project demonstrating how to use CUDA-PointPillars to deal with cloud points data from lidar.

NVIDIA AI IOT 315 Dec 31, 2022
This repository includes different versions of the prescribed-time controller as Simulink blocks and MATLAB script codes for engineering applications.

Prescribed-time Control Prescribed-time control (PTC) blocks in Simulink environment, MATLAB R2020b. For more theoretical details, refer to the papers

Amir Shakouri 1 Mar 11, 2022
Code for "Learning to Segment Rigid Motions from Two Frames".

rigidmask Code for "Learning to Segment Rigid Motions from Two Frames". ** This is a partial release with inference and evaluation code.

Gengshan Yang 157 Nov 21, 2022
Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"

This codebase is being actively maintained, please create and issue if you have issues using it Basics All data files are included under losses and ea

J K Terry 32 Nov 09, 2021
Unofficial PyTorch implementation of MobileViT.

MobileViT Overview This is a PyTorch implementation of MobileViT specified in "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Tr

Chin-Hsuan Wu 348 Dec 23, 2022
Pytorch for Segmentation

Pytorch for Semantic Segmentation This repo has been deprecated currently and I will not maintain it. Meanwhile, I strongly recommend you can refer to

ycszen 411 Nov 22, 2022
Neon-erc20-example - Example of creating SPL token and wrapping it with ERC20 interface in Neon EVM

Example of wrapping SPL token by ERC2-20 interface in Neon Requirements Install

7 Mar 28, 2022
An pytorch implementation of Masked Autoencoders Are Scalable Vision Learners

An pytorch implementation of Masked Autoencoders Are Scalable Vision Learners This is a coarse version for MAE, only make the pretrain model, the fine

FlyEgle 214 Dec 29, 2022
We envision models that are pre-trained on a vast range of domain-relevant tasks to become key for molecule property prediction

We envision models that are pre-trained on a vast range of domain-relevant tasks to become key for molecule property prediction. This repository aims to give easy access to state-of-the-art pre-train

GMUM 90 Jan 08, 2023
Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

Class-Balanced Loss Based on Effective Number of Samples Tensorflow code for the paper: Class-Balanced Loss Based on Effective Number of Samples Yin C

Yin Cui 546 Jan 08, 2023
This YoloV5 based model is fit to detect people and different types of land vehicles, and displaying their density on a fitted map, according to their coordinates and detected labels.

This YoloV5 based model is fit to detect people and different types of land vehicles, and displaying their density on a fitted map, according to their

Liron Bdolah 8 May 22, 2022
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language mod

20.5k Jan 08, 2023
SIMULEVAL A General Evaluation Toolkit for Simultaneous Translation

SimulEval SimulEval is a general evaluation framework for simultaneous translation on text and speech. Requirement python = 3.7.0 Installation git cl

Facebook Research 48 Dec 28, 2022
Multiview Dataset Toolkit

Multiview Dataset Toolkit Using multi-view cameras is a natural way to obtain a complete point cloud. However, there is to date only one multi-view 3D

11 Dec 22, 2022
Line-level Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Line-level Handwritten Text Recognition with TensorFlow This model is an extended version of the Simple HTR system implemented by @Harald Scheidl and

Hoàng Tùng Lâm (Linus) 72 May 07, 2022
Differentiable Annealed Importance Sampling (DAIS)

Differentiable Annealed Importance Sampling (DAIS) This repository contains the code to reproduce the DAIS results from the paper Differentiable Annea

Guodong Zhang 6 Dec 26, 2021
A deep learning network built with TensorFlow and Keras to classify gender and estimate age.

Convolutional Neural Network (CNN). This repository contains a source code of a deep learning network built with TensorFlow and Keras to classify gend

Pawel Dziemiach 1 Dec 19, 2021