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FloydHub Examples – A collection of boilerplates and examples of machine learning and deep learning models to build, train, and deploy on FloydHub

dl-docker

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

Python

3,860

dl-setup

Instructions for setting up the software on your deep learning machine

1,980

imagenet

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

Python

157

floyd-cli

Command line tool for FloydHub - the fastest way to build, train, and deploy deep learning models

Python

156

dockerfiles

Deep Learning Dockerfiles

Python

156

tensorflow-examples

Sample tensorflow code to try on Floyd

Python

tensorflow-notebooks-examples

Tensorflow Notebook Examples and Tutorials

Jupyter Notebook

pix2code-template

Build a neural network to code a basic a HTML and CSS website based on a picture of a design mockup.

Jupyter Notebook

floyd-docs

FloydHub's documentation code. Contributions welcome!

HTML

named-entity-recognition-template

Build a deep learning model for predicting the named entities from text.

Jupyter Notebook

mnist

Pytorch mnist example

Python

colornet-template

Colorizing B&W Photos with Neural Networks

Jupyter Notebook

save-and-resume

Checkpoint tutorial on FloydHub for Pytorch, Keras and Tensorflow.

Jupyter Notebook

dcgan

Porting pytorch dcgan on FloydHub

Python

word-language-model

Pytorch world language model (text generation) for PTB dataset example

Python

textutil-preprocess-cornell-movie-corpus

Python

time-sequence-prediction

FloydHub porting of Pytorch time-sequence-prediction example

Python

quick-start

FloydHub quick start project - train TensorFlow model with MNIST dataset

Jupyter Notebook

sentiment-analysis-template

Build a deep learning model for sentiment analysis of IMDB reviews

Jupyter Notebook

language-identification-template

Detect the languages from short pieces of text

Jupyter Notebook

image-classification-template

Build a deep learning model for classifying dog breeds from their images

Jupyter Notebook

object-detection-template

Tensorflow Object Detection API on `Where is Syd?` dataset

Python

fast-neural-style

FloydHub porting of Pytorch fast-neural-style example

Python

hyperparameters-search-examples

Code examples for https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/

Jupyter Notebook

keras-examples

Official Keras example projects on Floyd

quick-start-pytorch

Floyd quickstart project with PyTorch

Jupyter Notebook

gym-retro-template

One-click setup for OpenAI Gym Retro on FloydHub

Jupyter Notebook

regression-template

Build a deep learning model for predicting the price of wine given the description

Jupyter Notebook

regression

Pytorch Linear Regression example

Python

Screenshot-to-code-backup

Additional materials for https://blog.floydhub.com/turning-design-mockups-into-code-with-deep-learning/

HTML

deep-photo-styletransfer

Jupyter Notebook to train photorealistic style transfer

Lua

chatbot-demo

JavaScript

automate

For automating FloydHub workflows

Jupyter Notebook

ideas

Content ideas

mnist-demo

Comprehensive MNIST demo

Jupyter Notebook

pytorch-nn-tutorial

PyTorch Tutorial for Workspace: what is torch.nn really?

Jupyter Notebook

floydhub.github.io

Floyd website

CSS

textutil-normalize-text

Simple text normalization for English.

Python

textutil-shuffle-file

Randomly shuffle lines in a text file

Python

floydhub/examples

floydhub

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