Python Dependency-distance Resources

DeepBDC for few-shot learning        Introduction In this repo, we provide the implementation of the following paper: "Joint Distribution Matters: Dee

fastapi-better-di What is this ? fastapi-better-di is a utility that allows you to use DI in fastapi without Depends() Installation pip install fastap

HashNeRF-pytorch Instant-NGP recently introduced a Multi-resolution Hash Encodin

Computer vision has opened up a lot of opportunities to explore into AI domain that were earlier highly limited. Here is an application of haarcascade classifier and OpenCV to develop a social distancing violation detector. I am passing the algo through a video feed where it first detects people using 'haarcascade_fullbody.xml' classifier algo. OpenCV and some mathematical operations then allow us to make code the social distancing violation logic

MVSDF - Learning Signed Distance Field for Multi-view Surface Reconstruction This is the official implementation for the ICCV 2021 paper Learning Sign

distance sensor cube timer A rubiks cube timer using a distance sensor and a raspberry pi 4, and possibly the pi pico to reduce size and cost. How to

Alluka A type based dependency injection framework for Python 3.9+. Installation You can install Alluka from PyPI using the following command in any P

Effect of Different Encodings and Distance Functions on Quantum Instance-based Classifiers The repository contains the code to reproduce the experimen

Sharpened Cosine Distance PyTorch implementation of the Sharpened Cosine Distanc

Driver Analysis with Factors and Forests: An Automated Data Science Tool using Python 📊

FastAPI2 Admin Introduction fastapi-admin2 is an upgraded fastapi-admin, that supports ORM dialects, true Dependency Injection and extendability. Now

Distance-Ratio-Based Formulation for Metric Learning Environment Python3 Pytorch (http://pytorch.org/) (version 1.6.0+cu101) json tqdm Preparing datas

TweebankNLP This repo contains the new Tweebank-NER dataset and off-the-shelf Twitter-Stanza pipeline for state-of-the-art Tweet NLP, as described in

ISS Tracker Tracking International Space Station using NASA's API and plotting i

Choose dependency injection Friendly with MyPy Supports lazy injections Supports

FastAPI Server-sided Session FastAPI Server Session is a dependency-based extension for FastAPI that adds support for server-sided session management.

Synthetic data need to preserve the statistical properties of real data in terms of their individual behavior and (inter-)dependences. Copula and functional Principle Component Analysis (fPCA) are statistical models that allow these properties to be simulated (Joe 2014). As such, copula generated data have shown potential to improve the generalization of machine learning (ML) emulators (Meyer et al. 2021) or anonymize real-data datasets (Patki et al. 2016).

TweebankNLP This repo contains the new Tweebank-NER dataset and Twitter-Stanza p

The base is a DynamicContainer to autoconfigure services using the decorators @services for regular services and @command_handler for using command pattern.

Instant Neural Graphics Primitives Ever wanted to train a NeRF model of a fox in under 5 seconds? Or fly around a scene captured from photos of a fact

Neighbourhood Retrieval with Distance Correlation Assign Pseudo class labels to datapoints in the latent space. NNDC is a slim wrapper around FAISS. N

Informal Persian Universal Dependency Treebank (iPerUDT) Informal Persian Universal Dependency Treebank, consisting of 3000 sentences and 54,904 token

Security audit Python project dependencies against security advisory databases.

Calculator-of-strike-price-distance-for-options This is a calculator of strike price distance for options. Options are a type of derivative. One strat

Reproduction of the pipenv bug with transitive local dependencies. Clone this re

HuSpaCy: Industrial-strength Hungarian NLP HuSpaCy is a spaCy model and a library providing industrial-strength Hungarian language processing faciliti

clavier Measure edit distance based on keyboard layout. Table of contents Table of contents Introduction Installation User guide Keyboard layouts Dist

similaritymeasures Quantify the difference between two arbitrary curves Curves in this case are: discretized by inidviudal data points ordered from a

House-Price-Prediction Predicting Price of house by considering ,house age, Distance from public transport, No of convenient stores around house etc..

spacy-streamlit: spaCy building blocks for Streamlit apps This package contains utilities for visualizing spaCy models and building interactive spaCy-

SimSR Code and dataset for the paper SimSR: Simple Distance-based State Representationfor Deep Reinforcement Learning (AAAI-22). Requirements We assum

Hand Distance Measurement Game This is program is made to calculate the distance

Aerial_Distance_Calculator This program can calculate the Aerial Distance between two cities. This repository include both Jupyter notebook and Python

Roadster: Distance to Closest Road Feature Server Milliarium Aerum, the zero of

Semi-SDP Semi-supervised parser for semantic dependency parsing. This repo contains the code used for the semi-supervised semantic dependency parser i

Point Cloud Utils (pcu) - A Python library for common tasks on 3D point clouds Point Cloud Utils (pcu) is a utility library providing the following fu

Python Project Template A low dependency and really simple to start project template for Python Projects. HOW TO USE THIS TEMPLATE DO NOT FORK this is

Easily Extendable Basic Deep Metric Learning Pipeline Karsten Roth ([email protected]), Biagio Brattoli ([email protected]) When using thi

Dependency Depression Async-first dependency injection library based on python type hints Quickstart First let's create a class we would be injecting:

Implemented a Google Maps prototype that provides the shortest route in terms of distance, the fastest route, the route with the fewest turns, and a scenic route that avoids roads when provided a source and destination. The algorithms used were DFS, BFS, A*, and Iterative Depth First Search.

cppdep performs dependency analysis among components/packages/package groups of a large C/C++ project. This is a rewrite of dep_utils(adep/cdep/ldep), which is provided by John Lakos' book "Large-Scale C++ Software Design", Addison Wesley (1996).

Continuous Wasserstein-2 Benchmark This is the official Python implementation of the NeurIPS 2021 paper Do Neural Optimal Transport Solvers Work? A Co

python-rtsp-server Python-rtsp-server is a lightweight, zero-dependency proxy and storage server for several IP-cameras and multiple clients. Features

pythondi pythondi is a lightweight dependency injection library for python Support both sync and async functions Installation pip3 install pythondi Us

alls-green A check for whether the dependency jobs are all green. Why? Do you have more than one job in your GitHub Actions CI/CD workflows setup? Do

hexhamming What does it do? This module performs a fast bitwise hamming distance of two hexadecimal strings. This looks like: DEADBEEF = 1101111010101

Robotics with GPU computing Cupoch is a library that implements rapid 3D data processing for robotics using CUDA. The goal of this library is to imple

Bleeding edge dependency testing Full Documentation edgetest is a tox-inspired python library that will loop through your project's dependencies, and

Table of Contents Features Install Using PIP Stable version Development version Using Docker Stable version Development version Using HomeBrew Stable

Code data_preprocess.py: preprocess data for Dependent-T5. parameters.py: define parameters of Dependent-T5. train_tools.py: traning and evaluation co

A way to analyse how malware and/or goodware samples vary from each other using Shannon Entropy, Hausdorff Distance and Jaro-Winkler Distance

DeepDiff v 5.6.0 DeepDiff Overview DeepDiff: Deep Difference of dictionaries, iterables, strings and other objects. It will recursively look for all t

Pinject Pinject is a dependency injection library for python. The primary goal of Pinject is to help you assemble objects into graphs in an easy, main

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover’s Distance Improves Out-Of-Distribution Face Identification Official Implementation for the pape

About spellchecker.py Implementing a highly-accurate, brute-force, and dynamically programmed spellchecking program that utilizes the Damerau-Levensht

BoundWasserstein These scripts reproduce the results of the article Bounding Wasserstein distance with couplings by Niloy Biswas and Lester Mackey. ar

A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.

multilingual-mrc-isdg Code for the AAAI 2022 paper "Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph". This r

Implementation of dependency injection for apscheduler Prerequisites: apscheduler-di solves the problem since apscheduler doesn't support Dependency I

PyTorch implementation of CDistNet: Perceiving Multi-Domain Character Distance for Robust Text Recognition The unofficial code of CDistNet. Now, we ha

DepFine DepFine Is a tool to find the unregistered dependency based on dependency confusion valunerablility and lead to RCE Installation: You Can inst

Douglas-Quaid Project Open source software for image correlation, distance and analysis. Strongly related to : Carl-Hauser Problem statement (@CIRCL)

Code for "Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments".

DeepSDF This is an implementation of the CVPR '19 paper "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" by Park et a

Density-aware Chamfer Distance This repository contains the official PyTorch implementation of our paper: Density-aware Chamfer Distance as a Comprehe

Density-aware Chamfer Distance This repository contains the official PyTorch implementation of our paper: Density-aware Chamfer Distance as a Comprehe

PyEMD: Fast EMD for Python PyEMD is a Python wrapper for Ofir Pele and Michael Werman's implementation of the Earth Mover's Distance that allows it to

Chamfer Distance for pyTorch This is an implementation of the Chamfer Distance as a module for pyTorch. It is written as a custom C++/CUDA extension.

dcor dcor: distance correlation and related E-statistics in Python. E-statistics are functions of distances between statistical observations in metric

Run async workflows using pytest-fixtures-style dependency injection

Introduction MASS allows you to search a time series for a subquery resulting in an array of distances. These array of distances enable you to identif

A tool that updates all your project's Python dependency files through Pull Requests on GitHub/GitLab. About This repo contains the bot that is runnin

CircuitPython-Bundle-Manager-v2 A Python program that makes it easy to manage modules on a CircuitPython device! The CircuitPython Bundle Manager v2 i

nbsafety adds a layer of protection to computational notebooks by solving the stale dependency problem when executing cells out-of-order

Dependency Combobulator Dependency Combobulator is an Open-Source, modular and extensible framework to detect and prevent dependency confusion leakage

Python Dependency Injection library aiodi is a Container for the Dependency Injection in Python. Installation Use the package manager pip to install a

pipupgrade The missing command for pip Table of Contents Features Quick Start Usage Basic Usage Docker Environment Variables FAQ License Features Upda

LAMDA: Label Matching Deep Domain Adaptation This is the implementation of the paper LAMDA: Label Matching Deep Domain Adaptation which has been accep

GyroSPD Code for the paper "Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices" accepted at NeurIPS 2021. Re

DPGNN This repository is an official PyTorch(Geometric) implementation of DPGNN(DPGCN) in "Distance-wise Prototypical Graph Neural Network for Node Im

TesohhCrypt TesohhCrypt is a zero-dependency Cryptography Python Module, with a method that i made. (likely someone already made a similar one, but i

PyDI Dependency injection lib for python How to use To define the classes that should be injected and stored as bean use decorator @component @compone

Djag Scheduler (Dj)ango Task D(AG) (Scheduler) Overview Djag scheduler associates scheduling information with celery tasks The task schedule is persis

Mixup-Data-Dependency Code associated with the paper "Towards Understanding the Data Dependency of Mixup-style Training". Running Alternating Line Exp

What is Dependency Injector? Dependency Injector is a dependency injection framework for Python. It helps implementing the dependency injection princi

An almost dependency-less, synchronous Discord gateway library meant for my personal use.

Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes Supplementary materials for ISMIR 2021 LBD submission: K. N. W

A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021) This repository contains the official implemen

AWS Interactive CLI - Allows you to execute a complex AWS commands by chaining one or more other AWS CLI dependency

Uses WiFi signals and machine learning (sklearn's RandomForest) to predict where you are. Even works for small distances like 2-10 meters.

Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces(ICML 2021) This repository contains the code

Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

Social Distance Detector A Real-Time Social Distance Monitoring Tool Table of Contents Motivation YOLO Theory Detection Output Tech Stack Functionalit

PoseNet of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image" Introduction This repo is official Py

Neural Distance Embeddings for Biological Sequences Official implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTo

Neural Network Models for Joint POS Tagging and Dependency Parsing Implementations of joint models for POS tagging and dependency parsing, as describe

pip-audit pip-audit is a prototype tool for scanning Python environments for packages with known vulnerabilities. It uses the Python Packaging Advisor

tokeks A zero-dependency Python library for getting the Kubernetes token of a AWS EKS cluster. No AWS CLI, third-party client or library (boto3, botoc

Virtual_Image_Dragger This is a virtual picture dragging application. Users may virtually slide photos across the screen. The distance between the ind

Vacuna Inject everything! Vacuna is a little library to provide dependency management for your python code. Install pip install vacuna Usage import va