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
Code release for Convolutional Two-Stream Network Fusion for Video Action Recognition

Convolutional Two-Stream Network Fusion for Video Action Recognition

Christoph Feichtenhofer 676 Dec 31, 2022
This repository implements variational graph auto encoder by Thomas Kipf.

Variational Graph Auto-encoder in Pytorch This repository implements variational graph auto-encoder by Thomas Kipf. For details of the model, refer to

DaehanKim 215 Jan 02, 2023
Code-free deep segmentation for computational pathology

NoCodeSeg: Deep segmentation made easy! This is the official repository for the manuscript "Code-free development and deployment of deep segmentation

André Pedersen 26 Nov 23, 2022
We present a regularized self-labeling approach to improve the generalization and robustness properties of fine-tuning.

Overview This repository provides the implementation for the paper "Improved Regularization and Robustness for Fine-tuning in Neural Networks", which

NEU-StatsML-Research 21 Sep 08, 2022
Official code repository for the EMNLP 2021 paper

Integrating Visuospatial, Linguistic and Commonsense Structure into Story Visualization PyTorch code for the EMNLP 2021 paper "Integrating Visuospatia

Adyasha Maharana 23 Dec 19, 2022
Detecting drunk people through thermal images using Deep Learning (CNN)

Drunk Detection CNN Detecting drunk people through thermal images using Deep Learning (CNN) Dataset We used thermal images provided by Electronics Lab

Giacomo Ferretti 3 Oct 27, 2022
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting

Official code of APHYNITY Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting (ICLR 2021, Oral) Yuan Yin*, Vincent Le Guen*

Yuan Yin 24 Oct 24, 2022
Repository for the electrical and ICT benchmark model developed in the ERIGrid 2.0 project.

Benchmark Model Electrical and ICT System This repository contains the documentation, code, and models for the electrical and ICT benchmark model deve

ERIGrid 2.0 1 Nov 29, 2021
Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification

Dealing With Misspecification In Fixed-Confidence Linear Top-m Identification This repository is the official implementation of [Dealing With Misspeci

0 Oct 25, 2021
Classifies galaxy morphology with Bayesian CNN

Zoobot Zoobot classifies galaxy morphology with deep learning. This code will let you: Reproduce and improve the Galaxy Zoo DECaLS automated classific

Mike Walmsley 39 Dec 20, 2022
Instance-based label smoothing for improving deep neural networks generalization and calibration

Instance-based Label Smoothing for Neural Networks Pytorch Implementation of the algorithm. This repository includes a new proposed method for instanc

Mohamed Maher 1 Aug 13, 2022
UNet model with VGG11 encoder pre-trained on Kaggle Carvana dataset

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation By Vladimir Iglovikov and Alexey Shvets Introduction TernausNet is

Vladimir Iglovikov 1k Dec 28, 2022
PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

PyGAD: Genetic Algorithm in Python PyGAD is an open-source easy-to-use Python 3 library for building the genetic algorithm and optimizing machine lear

Ahmed Gad 1.1k Dec 26, 2022
Serving PyTorch 1.0 Models as a Web Server in C++

Serving PyTorch Models in C++ This repository contains various examples to perform inference using PyTorch C++ API. Run git clone https://github.com/W

Onur Kaplan 223 Jan 04, 2023
Mmdetection3d Noted - MMDetection3D is an open source object detection toolbox based on PyTorch

MMDetection3D is an open source object detection toolbox based on PyTorch

Jiangjingwen 13 Jan 06, 2023
Official codes for the paper "Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech"

ResDAVEnet-VQ Official PyTorch implementation of Learning Hierarchical Discrete Linguistic Units from Visually-Grounded Speech What is in this repo? M

Wei-Ning Hsu 21 Aug 23, 2022
MoveNet Single Pose on DepthAI

MoveNet Single Pose tracking on DepthAI Running Google MoveNet Single Pose models on DepthAI hardware (OAK-1, OAK-D,...). A convolutional neural netwo

64 Dec 29, 2022
meProp: Sparsified Back Propagation for Accelerated Deep Learning

meProp The codes were used for the paper meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting (ICML 2017) [pdf]

LancoPKU 107 Nov 18, 2022
3D position tracking for soccer players with multi-camera videos

This repo contains a full pipeline to support 3D position tracking of soccer players, with multi-view calibrated moving/fixed video sequences as inputs.

Yuchang Jiang 72 Dec 27, 2022
Suite of 500 procedurally-generated NLP tasks to study language model adaptability

TaskBench500 The TaskBench500 dataset and code for generating tasks. Data The TaskBench dataset is available under wget http://web.mit.edu/bzl/www/Tas

Belinda Li 20 May 17, 2022