170 Repositories
Python building-shadow Libraries
A repo for working with and building daos
DAO Mix DAO Mix About How to DAO No Code Tools Getting Started Prerequisites Installation Usage On-Chain Governance Example Off-Chain governance Examp
Hapi is a Python library for building Conceptual Distributed Model using HBV96 lumped model & Muskingum routing method
Current build status All platforms: Current release info Name Downloads Version Platforms Hapi - Hydrological library for Python Hapi is an open-sourc
Building an Investment Portfolio for Day Trade with Python
Montando um Portfólio de Investimentos para Day Trade com Python Instruções: Para reproduzir o projeto no Google Colab, faça o download do repositório
This is an example of building a video Question-Answer system using Jina.
example-video-search This is an example of building a video Question-Answer system using Jina. The index data is subtitle files of YouTube videos. Aft
A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
Toolkit for Building Robust ML models that generalize to unseen domains (RobustDG) Divyat Mahajan, Shruti Tople, Amit Sharma Privacy & Causal Learning
Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices
Mosec is a high-performance and flexible model serving framework for building ML model-enabled backend and microservices. It bridges the gap between any machine learning models you just trained and the efficient online service API.
Blender addon to generate better building models from satellite imagery.
Blender addon to generate better building models from satellite imagery.
Lingvo is a framework for building neural networks in Tensorflow, particularly sequence models.
Lingvo is a framework for building neural networks in Tensorflow, particularly sequence models.
A Domain Specific Language (DSL) for building language patterns. These can be later compiled into spaCy patterns, pure regex, or any other format
RITA DSL This is a language, loosely based on language Apache UIMA RUTA, focused on writing manual language rules, which compiles into either spaCy co
Lux Academy & Data Science East Africa Python Boot Camp, Building and Deploying Flask Application Using Docker Demo App.
Flask and Docker Application Demo A Docker image is a read-only, inert template that comes with instructions for deploying containers. In Docker, ever
A web app for presenting my research in BEM(building energy model) simulation
BEM(building energy model)-SIM-APP The is a web app presenting my research in BEM(building energy model) calibration. You can play around with some pa
Code for Blind Image Decomposition (BID) and Blind Image Decomposition network (BIDeN).
arXiv, porject page, paper Blind Image Decomposition (BID) Blind Image Decomposition is a novel task. The task requires separating a superimposed imag
Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
forward-thinking-pytorch Pytorch implementation of Forward Thinking: Building and Training Neural Networks One Layer at a Time Requirements Python 2.7
Flask Sugar is a web framework for building APIs with Flask, Pydantic and Python 3.6+ type hints.
Flask Sugar is a web framework for building APIs with Flask, Pydantic and Python 3.6+ type hints. check parameters and generate API documents automatically. Flask Sugar是一个基于flask,pyddantic,类型注解的API框架, 可以检查参数并自动生成API文档
Pipeline for fast building text classification TF-IDF + LogReg baselines.
Text Classification Baseline Pipeline for fast building text classification TF-IDF + LogReg baselines. Usage Instead of writing custom code for specif
This repository contains the code and models for the following paper.
DC-ShadowNet Introduction This is an implementation of the following paper DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised
A "gym" style toolkit for building lightweight Neural Architecture Search systems
A "gym" style toolkit for building lightweight Neural Architecture Search systems
Learning and Building Convolutional Neural Networks using PyTorch
Image Classification Using Deep Learning Learning and Building Convolutional Neural Networks using PyTorch. Models, selected are based on number of ci
Python ELT Studio, an application for building ELT (and ETL) data flows.
The Python Extract, Load, Transform Studio is an application for performing ELT (and ETL) tasks. Under the hood the application consists of a two parts.
HTTP Calls to Amazon Web Services Rest API for IoT Core Shadow Actions 💻🌐💡
aws-iot-shadow-rest-api HTTP Calls to Amazon Web Services Rest API for IoT Core Shadow Actions 💻 🌐 💡 This simple script implements the following aw
We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.
Auto-exposure fusion for single-image shadow removal We propose a new method for effective shadow removal by regarding it as an exposure fusion proble
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
Hailo Model Zoo The Hailo Model Zoo provides pre-trained models for high-performance deep learning applications. Using the Hailo Model Zoo you can mea
HyperPose is a library for building high-performance custom pose estimation applications.
HyperPose is a library for building high-performance custom pose estimation applications.
Official Pytorch Implementation of Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images.
IAug_CDNet Official Implementation of Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images. Overview We propose a
The first dataset on shadow generation for the foreground object in real-world scenes.
Object-Shadow-Generation-Dataset-DESOBA Object Shadow Generation is to deal with the shadow inconsistency between the foreground object and the backgr
Code for the CVPR 2021 paper "Triple-cooperative Video Shadow Detection"
Triple-cooperative Video Shadow Detection Code and dataset for the CVPR 2021 paper "Triple-cooperative Video Shadow Detection"[arXiv link] [official l
Sierra is a lightweight Python framework for building and integrating web applications
A lightweight Python framework for building and Integrating Web Applications. Sierra is a Python3 library for building and integrating web applications with HTML and CSS using simple enough syntax. You can develop your web applications with Python, taking advantage of its functionalities and integrating them to the fullest.
This repository contains the code for our fast polygonal building extraction from overhead images pipeline.
Polygonal Building Segmentation by Frame Field Learning We add a frame field output to an image segmentation neural network to improve segmentation qu
A comprehensive reference for all topics related to building and maintaining microservices
This pandect (πανδέκτης is Ancient Greek for encyclopedia) was created to help you find and understand almost anything related to Microservices that i
Learn Blockchains by Building One, A simple Blockchain in Python using Flask as a micro web framework.
Blockchain ✨ Learn Blockchains by Building One Yourself Installation Make sure Python 3.6+ is installed. Install Flask Web Framework. Clone this repos
Official repository for "Action-Based Conversations Dataset: A Corpus for Building More In-Depth Task-Oriented Dialogue Systems"
Action-Based Conversations Dataset (ABCD) This respository contains the code and data for ABCD (Chen et al., 2021) Introduction Whereas existing goal-
Learn Python and the Django Framework by building a e-commerce website
The Django-Ecommerce is an open-source project initiative and tutorial series built with Python and the Django Framework.
The programm for collecting data from Tinkoff API and building Excel table.
tinkproject The program for portfolio analysis via Tinkoff API Hello! This is my first project, please, don't judge me. This project was developed for
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
⚠️ 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
Ray provides a simple, universal API for building distributed applications.
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Django Ninja is a web framework for building APIs with Django and Python 3.6+ type hints.
💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Platform for building statistical models of cities and regions
UrbanSim UrbanSim is a platform for building statistical models of cities and regions. These models help forecast long-range patterns in real estate d
《Towards High Fidelity Face Relighting with Realistic Shadows》(CVPR 2021)
Towards High Fidelity Face-Relighting with Realistic Shadows Andrew Hou, Ze Zhang, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu. In CVPR, 2021. T
Diverse Branch Block: Building a Convolution as an Inception-like Unit
Diverse Branch Block: Building a Convolution as an Inception-like Unit (PyTorch) (CVPR-2021) DBB is a powerful ConvNet building block to replace regul
Lightspin AWS IAM Vulnerability Scanner
Red-Shadow Lightspin AWS IAM Vulnerability Scanner Description Scan your AWS IAM Configuration for shadow admins in AWS IAM based on misconfigured den
BAyesian Model-Building Interface (Bambi) in Python.
Bambi BAyesian Model-Building Interface in Python Overview Bambi is a high-level Bayesian model-building interface written in Python. It's built on to
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
NVIDIA DALI The NVIDIA Data Loading Library (DALI) is a library for data loading and pre-processing to accelerate deep learning applications. It provi
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Ray provides a simple, universal API for building distributed applications. Ray is packaged with the following libraries for accelerating machine lear
We have implemented shaDow-GNN as a general and powerful pipeline for graph representation learning. For more details, please find our paper titled Deep Graph Neural Networks with Shallow Subgraph Samplers, available on arXiv (https//arxiv.org/abs/2012.01380).
Deep GNN, Shallow Sampling Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, R
A set of workflows for corpus building through OCR, post-correction and normalisation
PICCL: Philosophical Integrator of Computational and Corpus Libraries PICCL offers a workflow for corpus building and builds on a variety of tools. Th
Django app for building dashboards using raw SQL queries
django-sql-dashboard Django app for building dashboards using raw SQL queries Brings a useful subset of Datasette to Django. Currently only works with
ASGI middleware for authentication, rate limiting, and building CRUD endpoints.
Piccolo API Utilities for easily exposing Piccolo models as REST endpoints in ASGI apps, such as Starlette and FastAPI. Includes a bunch of useful ASG
The template for building scalable web APIs based on FastAPI, Tortoise ORM and other.
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
The template for building scalable web APIs based on FastAPI, Tortoise ORM and other.
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
:mag: End-to-End Framework for building natural language search interfaces to data by utilizing Transformers and the State-of-the-Art of NLP. Supporting DPR, Elasticsearch, HuggingFace’s Modelhub and much more!
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
The open-source tool for building high-quality datasets and computer vision models
The open-source tool for building high-quality datasets and computer vision models. Website • Docs • Try it Now • Tutorials • Examples • Blog • Commun
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
⚠️ 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
The ultimate Python library in building OAuth, OpenID Connect clients and servers. JWS,JWE,JWK,JWA,JWT included.
Authlib The ultimate Python library in building OAuth and OpenID Connect servers. JWS, JWK, JWA, JWT are included. Authlib is compatible with Python2.
A library for building modern declarative desktop applications in WX.
re-wx is a library for building modern declarative desktop applications. It's built as a management layer on top of WXPython, which means you get all the goodness of a mature, native, cross-platform UI kit, wrapped up in a modern, React inspired API.
Learning from Synthetic Shadows for Shadow Detection and Removal [Inoue+, IEEE TCSVT 2020].
Learning from Synthetic Shadows for Shadow Detection and Removal (IEEE TCSVT 2020) Overview This repo is for the paper "Learning from Synthetic Shadow
The open-source tool for building high-quality datasets and computer vision models
The open-source tool for building high-quality datasets and computer vision models. Website • Docs • Try it Now • Tutorials • Examples • Blog • Commun
NeuPy is a Tensorflow based python library for prototyping and building neural networks
NeuPy v0.8.2 NeuPy is a python library for prototyping and building neural networks. NeuPy uses Tensorflow as a computational backend for deep learnin
Library for building powerful interactive command line applications in Python
Python Prompt Toolkit prompt_toolkit is a library for building powerful interactive command line applications in Python. Read the documentation on rea
💨 Fast, Async-ready, Openapi, type hints based framework for building APIs
Fast to learn, fast to code, fast to run Django Ninja - Fast Django REST Framework Django Ninja is a web framework for building APIs with Django and P
The Python micro framework for building web applications.
Flask Flask is a lightweight WSGI web application framework. It is designed to make getting started quick and easy, with the ability to scale up to co
Useful tools for building interactions in Python
discord-interactions-python Types and helper functions for Discord Interactions webhooks. Installation Available via pypi: pip install discord-interac
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. 150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/
Stock Analysis Engine Build and tune investment algorithms for use with artificial intelligence (deep neural networks) with a distributed stack for ru
Library for building WebSocket servers and clients in Python
What is websockets? websockets is a library for building WebSocket servers and clients in Python with a focus on correctness and simplicity. Built on
A Python scikit for building and analyzing recommender systems
Overview Surprise is a Python scikit for building and analyzing recommender systems that deal with explicit rating data. Surprise was designed with th
The windML framework provides an easy-to-use access to wind data sources within the Python world, building upon numpy, scipy, sklearn, and matplotlib. Renewable Wind Energy, Forecasting, Prediction
windml Build status : The importance of wind in smart grids with a large number of renewable energy resources is increasing. With the growing infrastr
shiv is a command line utility for building fully self contained Python zipapps as outlined in PEP 441, but with all their dependencies included.
shiv shiv is a command line utility for building fully self-contained Python zipapps as outlined in PEP 441, but with all their dependencies included!
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Ray provides a simple, universal API for building distributed applications. Ray is packaged with the following libraries for accelerating machine lear
Library for building WebSocket servers and clients in Python
What is websockets? websockets is a library for building WebSocket servers and clients in Python with a focus on correctness and simplicity. Built on
The ultimate Python library in building OAuth, OpenID Connect clients and servers. JWS,JWE,JWK,JWA,JWT included.
Authlib The ultimate Python library in building OAuth and OpenID Connect servers. JWS, JWK, JWA, JWT are included. Authlib is compatible with Python2.