Python Starlette-context Resources

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework This repository contains a framework for Recommender Systems (RecSys), a

Context Encoders: Feature Learning by Inpainting This is the Pytorch implement of CVPR 2016 paper on Context Encoders 1) Semantic Inpainting Demo Inst

CaraNet: Context Axial Reverse Attention Network for Small Medical Objects Segmentation This repository contains the implementation of a novel attenti

Context Modeling in 3D Human Pose Estimation: A Unified Perspective (CVPR 2021) Introduction This repository is the offical Pytorch implementation of

A fast, user friendly ORM and query builder which supports asyncio.

Video Contrastive Learning with Global Context (VCLR) This is the official PyTorch implementation of our VCLR paper. Install dependencies environments

CLNER The code is for our ACL-IJCNLP 2021 paper: Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning CLNER is a

The idea of this project is to show how Starlette, Marshmallow, and SQLAlchemy can be combined to create a RESTful HTTP API application that is modular, lightweight, and capable of dealing with many simultaneous requests.

Temporal Context Aggregation Network - Pytorch This repo holds the pytorch-version codes of paper: "Temporal Context Aggregation Network for Temporal

LESA Introduction This repository contains the official implementation of Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Cont

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context This repository contains the code in both PyTorch and TensorFlow for our paper

UACANet: Uncertainty Aware Context Attention for Polyp Segmentation Official pytorch implementation of UACANet: Uncertainty Aware Context Attention fo

fastapi-tortoise-orm-url-shortener a url shortener with fastapi and tortoise-orm

DLCF-DCA codes for paper Combining Dynamic Local Context Focus and Dependency Cluster Attention for Aspect-level sentiment classification. submitted t

ContextNet ContextNet has CNN-RNN-transducer architecture and features a fully convolutional encoder that incorporates global context information into

Sentance Parser Executing the Program Make sure Python 3.6+ is installed. Install requirements $ pip install requirements.txt Run the program:

ATLOP Code for AAAI 2021 paper Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling. If you make use of this co

IAUnet This repository contains the code for the paper: IAUnet: Global Context-Aware Feature Learning for Person Re-Identification Ruibing Hou, Bingpe

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CAC) Xin Lai*, Zhuotao Tian*, Li Jiang, Shu Liu, Hengshuang Zhao, Li

R²SQL The PyTorch implementation of paper Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. (AAAI 2021) Requirement

API spec validator and OpenAPI document generator for Python web frameworks.

Visual Tracking by TridentAlign and Context Embedding (TACT) Test code for "Visual Tracking by TridentAlign and Context Embedding" Janghoon Choi, Juns

Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation The code of: Context Decoupling Augmentation for Weakly Supervised Semanti

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CAC) Xin Lai*, Zhuotao Tian*, Li Jiang, Shu Liu, Hengshuang Zhao, Li

Trading Gym Trading Gym is an open-source project for the development of reinforcement learning algorithms in the context of trading. It is currently

Active Speakers in Context This repo contains the official code and models for the "Active Speakers in Context" CVPR 2020 paper. Before Training The c

Code Transformer This is an official PyTorch implementation of the CodeTransformer model proposed in: D. Zügner, T. Kirschstein, M. Catasta, J. Leskov

SPLASH: Semantic Parsing with Language Assistance from Humans SPLASH is dataset for the task of semantic parse correction with natural language feedba

Diverse Image Captioning with Context-Object Split Latent Spaces This repository is the PyTorch implementation of the paper: Diverse Image Captioning

Run context-aware commands from your source code comments. Codeline allows you to run custom commands directly from source-code comments, combining th

Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking Ning Wang, Wengang Zhou, Jie Wang, and Houqiang Li Accepted by CVPR

Scene-Text-Detection-with-SPCNET Unofficial repository for [Scene Text Detection with Supervised Pyramid Context Network][https://arxiv.org/abs/1811.0

Commonsense Knowledge Base Completion with Structural and Semantic Context Code for the paper Commonsense Knowledge Base Completion with Structural an

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

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

gino-starlette Introduction An extension for GINO to support starlette server. Usage The common usage looks like this: from starlette.applications imp

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

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

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'

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

Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p

Starlette-OpenTracing OpenTracing support for Starlette and FastApi. Inspired by: Flask-OpenTracing OpenTracing implementations exist for major distri

starlette_exporter Prometheus exporter for Starlette and FastAPI. The middleware collects basic metrics: Counter: starlette_requests_total Histogram:

starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat

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

Prerender Python Starlette Starlette middleware for Prerender Documentation: https://BeeMyDesk.github.io/prerender-python-starlette/ Source Code: http

FastAPI Contrib Opinionated set of utilities on top of FastAPI Free software: MIT license Documentation: https://fastapi-contrib.readthedocs.io. Featu

Exploring Cross-Image Pixel Contrast for Semantic Segmentation Exploring Cross-Image Pixel Contrast for Semantic Segmentation, Wenguan Wang, Tianfei Z

Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p

Starlette-OpenTracing OpenTracing support for Starlette and FastApi. Inspired by: Flask-OpenTracing OpenTracing implementations exist for major distri

starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat

Prerender Python Starlette Starlette middleware for Prerender Documentation: https://BeeMyDesk.github.io/prerender-python-starlette/ Source Code: http

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

starlette_exporter Prometheus exporter for Starlette and FastAPI. The middleware collects basic metrics: Counter: starlette_requests_total Histogram:

FastAPI Contrib Opinionated set of utilities on top of FastAPI Free software: MIT license Documentation: https://fastapi-contrib.readthedocs.io. Featu

Starlette Prometheus Introduction Prometheus integration for Starlette. Requirements Python 3.6+ Starlette 0.9+ Installation $ pip install starlette-p

starlette context Middleware for Starlette that allows you to store and access the context data of a request. Can be used with logging so logs automat

async-asgi-testclient Async ASGI TestClient is a library for testing web applications that implements ASGI specification (version 2 and 3). The motiva

tartiflette-asgi is a wrapper that provides ASGI support for the Tartiflette Python GraphQL engine. It is ideal for serving a GraphQL API over HTTP, o

Strawberry GraphQL Python GraphQL library based on dataclasses Installation ( Quick Start ) The quick start method provides a server and CLI to get go

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

Mangum Mangum is an adapter for using ASGI applications with AWS Lambda & API Gateway. It is intended to provide an easy-to-use, configurable wrapper

🔥 Fire up your API. Documentation: https://flama.perdy.io Flama Flama aims to bring a layer on top of Starlette to provide an easy to learn and fast

R²SQL The PyTorch implementation of paper Dynamic Hybrid Relation Network for Cross-Domain Context-Dependent Semantic Parsing. (AAAI 2021) Requirement

Context Matters: Graph-based Self-supervised Representation Learning for Medical Images Official PyTorch implementation for paper Context Matters: Gra

Releases | Gears | Documentation | Installation | License VidGear is a High-Performance Video Processing Python Library that provides an easy-to-use,

FastAPI framework, high performance, easy to learn, fast to code, ready for production Documentation: https://fastapi.tiangolo.com Source Code: https:

tartiflette-asgi is a wrapper that provides ASGI support for the Tartiflette Python GraphQL engine. It is ideal for serving a GraphQL API over HTTP, o

FastAPI framework, high performance, easy to learn, fast to code, ready for production Documentation: https://fastapi.tiangolo.com Source Code: https: