Fbone (Flask bone) is a Flask (Python microframework) starter/template/bootstrap/boilerplate application.

Related tags

Deep Learningfbone
Overview

INTRODUCTION

Fbone (Flask bone) is a Flask (Python microframework) template/bootstrap/boilerplate application, with best practices (I hope).

You can use it for

  • learning Flask.
  • kicking off your new project.

COMPONENTS

Frontend

Flask Extensions

Others

  • Modular Applications with Blueprints.
  • Use Sentry for real-time crash reporting.
  • Automated managament via fabric

USAGE

Pre-required Setup:

  • MacOS/Ubuntu (should be fine in other linux distro)

  • git

  • Python / pip / Fabric

  • sqlite / MySQL

  • Apache + mod_wsgi

    git clone https://github.com/imwilsonxu/fbone.git fbone

    fab setup_python_macos fab bootstrap fab test fab debug

STRUCTURE

├── CHANGES                     Change logs
├── README.markdown
├── fabfile.py                  Fabric file to automated managament project
├── fbone.conf                  Apache config
├── requirements.txt            3rd libraries
├── tests.py                    Unittests
├── wsgi.py                     Wsgi app
├── fbone
   ├── __init__.py
   ├── app.py                   Main App
   ├── config.py                Develop / Testing configs
   ├── constants.py             Constants
   ├── decorators.py            Customized decorators
   ├── extensions.py            Flask extensions
   ├── filters.py               Flask filters
   ├── utils.py                 Python utils
   ├── frontend                 Frontend blueprint
   │   ├── __init__.py
   │   ├── forms.py             Forms used in frontend modular
   │   ├── views.py             Views used in frontend modular
   ├── user
   ├── api
   ├── static                   Static files
   │   ├── css
   │   ├── favicon.png
   │   ├── humans.txt
   │   ├── img
   │   ├── js
   │   └── robots.txt
   └── templates                Jinja2 templates
       ├── errors
       ├── frontend
       ├── index.html
       ├── layouts              Jinja2 layouts
       │   ├── base.html
       │   └── user.html
       ├── macros               Jinja2 macros
       ├── mails                Mail templates
       └── user

TODO

LICENSE

MIT LICENSE

ACKNOWLEDGEMENTS

Many thanks to Python, Flask and other good stacks.

Bitdeli Badge

Owner
Wilson
Wilson
Learn the Deep Learning for Computer Vision in three steps: theory from base to SotA, code in PyTorch, and space-repetition with Anki

DeepCourse: Deep Learning for Computer Vision arthurdouillard.com/deepcourse/ This is a course I'm giving to the French engineering school EPITA each

Arthur Douillard 113 Nov 29, 2022
Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

fcn - Fully Convolutional Networks Chainer implementation of Fully Convolutional Networks. Installation pip install fcn Inference Inference is done as

Kentaro Wada 218 Oct 27, 2022
A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery

PiSL A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery. Sun, F., Liu, Y. and Sun, H., 2021. Physics-informe

Fangzheng (Andy) Sun 8 Jul 13, 2022
Skipgram Negative Sampling in PyTorch

PyTorch SGNS Word2Vec's SkipGramNegativeSampling in Python. Yet another but quite general negative sampling loss implemented in PyTorch. It can be use

Jamie J. Seol 287 Dec 14, 2022
Implementation of the CVPR 2021 paper "Online Multiple Object Tracking with Cross-Task Synergy"

Online Multiple Object Tracking with Cross-Task Synergy This repository is the implementation of the CVPR 2021 paper "Online Multiple Object Tracking

54 Oct 15, 2022
Implementation for the paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR2021).

Invertible Image Denoising This is the PyTorch implementation of paper: Invertible Denoising Network: A Light Solution for Real Noise Removal (CVPR 20

157 Dec 25, 2022
Boundary-preserving Mask R-CNN (ECCV 2020)

BMaskR-CNN This code is developed on Detectron2 Boundary-preserving Mask R-CNN ECCV 2020 Tianheng Cheng, Xinggang Wang, Lichao Huang, Wenyu Liu Video

Hust Visual Learning Team 178 Nov 28, 2022
Adversarial Autoencoders

Adversarial Autoencoders (with Pytorch) Dependencies argparse time torch torchvision numpy itertools matplotlib Create Datasets python create_datasets

Felipe Ducau 188 Jan 01, 2023
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)

MNIST-to-SVHN and SVHN-to-MNIST PyTorch Implementation of CycleGAN and Semi-Supervised GAN for Domain Transfer. Prerequites Python 3.5 PyTorch 0.1.12

Yunjey Choi 401 Dec 30, 2022
MIMO-UNet - Official Pytorch Implementation

MIMO-UNet - Official Pytorch Implementation This repository provides the official PyTorch implementation of the following paper: Rethinking Coarse-to-

Sungjin Cho 248 Jan 02, 2023
Meandering In Networks of Entities to Reach Verisimilar Answers

MINERVA Meandering In Networks of Entities to Reach Verisimilar Answers Code and models for the paper Go for a Walk and Arrive at the Answer - Reasoni

Shehzaad Dhuliawala 271 Dec 13, 2022
H&M Fashion Image similarity search with Weaviate and DocArray

H&M Fashion Image similarity search with Weaviate and DocArray This example shows how to do image similarity search using DocArray and Weaviate as Doc

Laura Ham 18 Aug 11, 2022
Unconstrained Text Detection with Box Supervisionand Dynamic Self-Training

SelfText Beyond Polygon: Unconstrained Text Detection with Box Supervisionand Dynamic Self-Training Introduction This is a PyTorch implementation of "

weijiawu 34 Nov 09, 2022
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

SimMIM By Zhenda Xie*, Zheng Zhang*, Yue Cao*, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai and Han Hu*. This repo is the official implementation of

Microsoft 674 Dec 26, 2022
Codebase for Time-series Generative Adversarial Networks (TimeGAN)

Codebase for Time-series Generative Adversarial Networks (TimeGAN)

Jinsung Yoon 532 Dec 31, 2022
[ICME 2021 Oral] CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning

CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning This repository is the official PyTorch implementation of CORE-Text, a

Jingyang Lin 18 Aug 11, 2022
Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution' in CVPR 2022

LDL Paper | Supplementary Material Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution Jie Liang*, Hu

150 Dec 26, 2022
Continuous Diffusion Graph Neural Network

We present Graph Neural Diffusion (GRAND) that approaches deep learning on graphs as a continuous diffusion process and treats Graph Neural Networks (GNNs) as discretisations of an underlying PDE.

Twitter Research 227 Jan 05, 2023
Code repository for "Stable View Synthesis".

Stable View Synthesis Code repository for "Stable View Synthesis". Setup Install the following Python packages in your Python environment - numpy (1.1

Intelligent Systems Lab Org 195 Dec 24, 2022
[CVPR2021] DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets

DoDNet This repo holds the pytorch implementation of DoDNet: DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datase

116 Dec 12, 2022