Python Cookiecutter-pytorch-fastapi Resources

NN Template Generic template to bootstrap your PyTorch project. Click on Use this Template and avoid writing boilerplate code for: PyTorch Lightning,

PENet: Precise and Efficient Depth Completion This repo is the PyTorch implementation of our paper to appear in ICRA2021 on "Towards Precise and Effic

COCO LM Pretraining (wip) Implementation of COCO-LM, Correcting and Contrasting Text Sequences for Language Model Pretraining, in Pytorch. They were a

Omninet - Pytorch Implementation of OmniNet, Omnidirectional Representations from Transformers, in Pytorch. The authors propose that we should be atte

Pneumonia Detection Pneumonia Detection using machine learning. Training was done in colab: DEMO: Result (Confusion Matrix): Data I uploaded my datase

EGNN - Pytorch Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch. May be eventually used for Alphafold2 replication. This

Deep Illuminator Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently genera

Transformer in Transformer Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image c

Neural Scene Flow Fields PyTorch implementation of paper "Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes", CVPR 20

HiSD: Image-to-image Translation via Hierarchical Style Disentanglement Official pytorch implementation of paper "Image-to-image Translation

An easy-to-use and efficient system to support the Mixture of Experts (MoE) model for PyTorch.

LightSpeech UnOfficial PyTorch implementation of LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search.

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

start-fastapi Version 2021, based on FastAPI, an easy-to-use web app developed upon Starlette Framework Version 2020 中文文档 Requirements python 3.6+ (fo

SPARKY Sample web application built with FastAPI & Python 3.8 shows simple Flask-like structure with a Bootstrap template index.html also has a backgr

SlowApi A rate limiting library for Starlette and FastAPI adapted from flask-limiter. Note: this is alpha quality code still, the API may change, and

FastAPI Todolist Description Todolist aplication made with Python's FastAPI framework and Hexagonal Architecture. This is a test repository for the pu

Lagom - Dependency injection container What Lagom is a dependency injection container designed to give you "just enough" help with building your depen

Gino-Admin Docs (state: in process): Gino-Admin docs Play with Demo (current master 0.2.3) Gino-Admin demo (login: admin, pass: 1234) Admin

前言 这个是 2.0 版本，使用现在流行的前后端分离思想重构。 体验网址：https://douyin.bigdataboy.cn 更新日志 2020.05.30：使用 FastAPI 前后端分离重构 2020.05.02：已更新，正常使用 2020.04.27：抖音结构更新，已修复视频有水印。（失

fastapi-versioning api versioning for fastapi web applications Installation pip install fastapi-versioning Examples from fastapi import FastAPI from f

Reusable utilities for FastAPI Documentation: https://fastapi-utils.davidmontague.xyz Source Code: https://github.com/dmontagu/fastapi-utils FastAPI i

FastAPI Users Ready-to-use and customizable users management for FastAPI Documentation: https://frankie567.github.io/fastapi-users/ Source Code: https

FastAPI and Tortoise ORM. Powerful but simple template for web APIs w/ FastAPI (as web framework) and Tortoise-ORM (for working via database without h

Quickstart Then run the following commands to bootstrap your environment with poetry: git clone https://github.com/xiaozl/fastapi-realworld-example-ap

Plugins for FastAPI framework, high performance, easy to learn, fast to code, ready for production fastapi-plugins FastAPI framework plugins Cache Mem

Row Level Permissions for FastAPI While trying out the excellent FastApi framework there was one peace missing for me: an easy, declarative way to def

FastAPI Model Server Skeleton Serving machine learning models production-ready, fast, easy and secure powered by the great FastAPI by Sebastián Ramíre

Description JSON-RPC server based on fastapi: https://fastapi.tiangolo.com Motivation Autogenerated OpenAPI and Swagger (thanks to fastapi) for JSON-R

FastAPI 框架，高性能，易学，快速编码，随时可供生产 文档：https://fastapi.tiangolo.com 源码：https://github.com/tiangolo/fastapi FastAPI 是一个现代、快速（高性能）的 Web 框架，基于标准 Python 类型提示，使用

Developing and Testing an API with FastAPI and Pytest Syncronous Example Want to use this project? Build the images and run the containers: $ docker-c

fastapi - celery - rabbitmq - redis - Docker A simple docker-compose app for orchestrating a fastapi application, a celery queue with rabbitmq(broker

FastAPI with Celery Minimal example utilizing FastAPI and Celery with RabbitMQ for task queue, Redis for Celery backend and flower for monitoring the

FastAPI Boilerplate Features SQlAlchemy session Custom user class Top-level dependency Dependencies for specific permissions Celery SQLAlchemy for asy

FastAPI Auth Pluggable auth for use with FastAPI Supports OAuth2 Password Flow Uses JWT access and refresh tokens 100% mypy and test coverage Supports

FastAPI ADMIN 中文文档 Introduction FastAPI-Admin is a admin dashboard based on fastapi and tortoise-orm. FastAPI-Admin provide crud feature out-of-the-bo

django-fastapi-example This is an experiment to demonstrate one potential way of running FastAPI with Django. It won't be actively maintained. If you'

cloudrun-fastapi Boilerplate for running FastAPI on Google Cloud Run with Google Cloud Build for deployment. For all documentation visit the docs fold

Backend API Skeleton Based on @tiangolo's full stack postgres template, with some things added, some things removed, and some things changed. This is

Introduction Apiestas is a project composed of a backend powered by the awesome framework FastAPI and a crawler powered by Scrapy. This project has fo

Mall项目后台管理 前段时间学习Vue写了一个移动端项目 https://www.charmcode.cn/app/mall/home 然后教程到此就结束了， 我就总感觉少点什么，计划自己着手写一套后台管理。 相关项目 移动端Mall项目源码(Vue构建): https://github.com/

视频教学地址 中文学习教程 1、本教程每一个案例都可以独立跑，前提是安装好依赖包。 2、本教程并未按照官方教程顺序，而是按照实际使用顺序编排。 Video Teaching Address FastAPI Learning Example 1.Each case in this tutorial c

FastAPI-Auth Example app using FastAPI and JWT virtualenv -p python3 venv source venv/bin/activate pip3 install -r requirements.txt mv config.yaml.exa

COVID-19API 코로나 바이러스 감염증-19(COVID-19, SARS-CoV-2)의 국내/외 발생 동향 조회 API Corona Virus Infectious Disease-19 (COVID-19, SARS-CoV-2) outbreak trend inquiry

Medical-Transformer Pytorch Code for the paper "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" About this repo: This repo

Ivy vision focuses predominantly on 3D vision, with functions for camera geometry, image projections, co-ordinate frame transformations, forward warping, inverse warping, optical flow, depth triangulation, voxel grids, point clouds, signed distance functions, and others. Check out the docs for more info!

ml-monitoring Jeremy Jordan This repository provides an example setup for monitoring an ML system deployed on Kubernetes.

Overview [Blog] [Paper] [Model Card] [Usage] This is the official PyTorch package for the discrete VAE used for DALL·E. Installation Before running th

sympytorch A micro-library as a convenience for turning SymPy expressions into PyTorch Modules. All SymPy floats become trainable parameters. All SymP

SETR - Pytorch Since the original paper (Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers.) has no official

pytorch-distributed-training Distribute Dataparallel (DDP) Training on Pytorch Features Easy to study DDP training You can directly copy this code for

Cookiecutter A command-line utility that creates projects from cookiecutters (project templates), e.g. creating a Python package project from a Python

A PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf 2021). Abstract In this work we propose Pathfind

Deepware Scanner (CLI) This repository contains the command-line deepfake scanner tool with the pre-trained models that are currently used at deepware

SSD: Single Shot MultiBox Detector Introduction Here is my pytorch implementation of 2 models: SSD-Resnet50 and SSDLite-MobilenetV2.

Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks. It takes raw videos/images + text as inputs, and outputs task predictions. ClipBERT is designed based on 2D CNNs and transformers, and uses a sparse sampling strategy to enable efficient end-to-end video-and-language learning.

BitPack is a practical tool that can efficiently save quantized neural network models with mixed bitwidth.

This is an unofficial PyTorch implementation of Meta Pseudo Labels. The official Tensorflow implementation is here.

This is where I learn machine learning🤷‍ This means that this repo covers no specific topic of machine learning or a project - I work in here when I want to learn/try something

This is the official PyTorch implementation of our paper: "Joint Object Detection and Multi-Object Tracking with Graph Neural Networks". Our project website and video demos are here.

This repository provides the source code for training and testing state-of-the-art click-based interactive segmentation models with the official PyTorch implementation

NFNet Pytorch Implementation This repo contains pretrained NFNet models F0-F6 with high ImageNet accuracy from the paper High-Performance Large-Scale

PyTorch实现多种计算机视觉中网络设计中用到的Attention机制，还收集了一些即插即用模块。由于能力有限精力有限，可能很多模块并没有包括进来，有任何的建议或者改进，可以提交issue或者进行PR。

Unbiased Teacher for Semi-Supervised Object Detection This is the PyTorch implementation of our paper: Unbiased Teacher for Semi-Supervised Object Detection

Kindle is an easy model build package for PyTorch. Building a deep learning model became so simple that almost all model can be made by copy and paste from other existing model codes. So why code? when we can simply build a model with yaml markup file. Kindle builds a model with no code but yaml file which its method is inspired from YOLOv5.

Minimal example utilizing fastapi and celery with RabbitMQ for task queue, Redis for celery backend and flower for monitoring the celery tasks.

Description This is a minimalistic and extensible FastAPI template that incorporates factory pattern architecture with divisional folder structure. It

FastAPI + React · A cookiecutter template for bootstrapping a FastAPI and React project using a modern stack. Features FastAPI (Python 3.8) JWT authen

fastapi-gino-arq-uvicorn High-performance Async REST API, in Python. FastAPI + GINO + Arq + Uvicorn (powered by Redis & PostgreSQL). Contents Get Star

Supported tags and respective Dockerfile links python3.8, latest (Dockerfile) python3.7, (Dockerfile) python3.6 (Dockerfile) python3.8-slim (Dockerfil

openapi-python-client Generate modern Python clients from OpenAPI 3.x documents. This generator does not support OpenAPI 2.x FKA Swagger. If you need

cookiecutter-fastapi In order to create a template to FastAPI projects. 🚀 Important To use this project you don't need fork it. Just run cookiecutter

cookiecutter-spacy-fastapi Python cookiecutter API for quick deployments of spaCy models with FastAPI Azure Search The API interface is compatible wit

FastAPI Model Server Skeleton Serving machine learning models production-ready, fast, easy and secure powered by the great FastAPI by Sebastián Ramíre

FastAPI and Tortoise ORM. Powerful but simple template for web APIs w/ FastAPI (as web framework) and Tortoise-ORM (for working via database without h

Full Stack FastAPI and PostgreSQL - Base Project Generator Generate a backend and frontend stack using Python, including interactive API documentation

Det3D is the first 3D Object Detection toolbox which provides off the box implementations of many 3D object detection algorithms such as PointPillars, SECOND, PIXOR, etc, as well as state-of-the-art methods on major benchmarks like KITTI(ViP) and nuScenes(CBGS).

Welcome to the Transfer NLP library, a framework built on top of PyTorch to promote reproducible experimentation and Transfer Learning in NLP You can

NOTE PyTorch Translate is now deprecated, please use fairseq instead. Translate - a PyTorch Language Library Translate is a library for machine transl

(Framework for Adapting Representation Models) What is it? FARM makes Transfer Learning with BERT & Co simple, fast and enterprise-ready. It's built u

A Deep Learning NLP/NLU library by Intel® AI Lab Overview | Models | Installation | Examples | Documentation | Tutorials | Contributing NLP Architect

Basic Utilities for PyTorch Natural Language Processing (NLP) PyTorch-NLP, or torchnlp for short, is a library of basic utilities for PyTorch NLP. tor

spacy-transformers: Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy This package provides spaCy components and architectures to use tr

✨ NeuralCoref 4.0: Coreference Resolution in spaCy with Neural Networks. NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolv

Stanza: A Python NLP Library for Many Human Languages The Stanford NLP Group's official Python NLP library. It contains support for running various ac

Overview PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapi

Haystack is an end-to-end framework that enables you to build powerful and production-ready pipelines for different search use cases. Whether you want

An easier way to build neural search on the cloud Jina is a deep learning-powered search framework for building cross-/multi-modal search systems (e.g

OpenNMT-py: Open-Source Neural Machine Translation OpenNMT-py is the PyTorch version of the OpenNMT project, an open-source (MIT) neural machine trans

An Apache 2.0 NLP research library, built on PyTorch, for developing state-of-the-art deep learning models on a wide variety of linguistic tasks. Quic

torchtext This repository consists of: torchtext.data: Generic data loaders, abstractions, and iterators for text (including vocabulary and word vecto

A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. IMPORTANT: (30.08.2020) We moved our models

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

State-of-the-art Natural Language Processing for PyTorch and TensorFlow 2.0 🤗 Transformers provides thousands of pretrained models to perform tasks o

⚠️ Checkout develop branch to see what is coming in pyannote.audio 2.0: a much smaller and cleaner codebase Python-first API (the good old pyannote-au

torchaudio: an audio library for PyTorch The aim of torchaudio is to apply PyTorch to the audio domain. By supporting PyTorch, torchaudio follows the

msgpack-asgi msgpack-asgi allows you to add automatic MessagePack content negotiation to ASGI applications (Starlette, FastAPI, Quart, etc.), with a s

Project generator and manager for FastAPI. Source Code: View it on Github Features 🚀 Creates customizable project boilerplate. Creates customizable a

Jupter Notebook REST API Run your jupyter notebooks as a REST API endpoint. This isn't a jupyter server but rather just a way to run your notebooks as

fastapi-versioning api versioning for fastapi web applications Installation pip install fastapi-versioning Examples from fastapi import FastAPI from f