282 Repositories
Python mathematical-functions Libraries
build GUIs from python functions, using magic.
magicgui: build GUIs from functions, using magic. 📖 Docs Installation magicgui uses qtpy to support both pyside2 and pyqt5 backends. However, you mus
dualPC.R contains the R code for the main functions.
dualPC.R contains the R code for the main functions. dualPC_sim.R contains an example run with the different PC versions; it calls dualPC_algs.R whic
Code for "OctField: Hierarchical Implicit Functions for 3D Modeling (NeurIPS 2021)"
OctField(Jittor): Hierarchical Implicit Functions for 3D Modeling Introduction This repository is code release for OctField: Hierarchical Implicit Fun
DataShare - Simple library for data sharing between scripts and public functions calling
DataShare - Simple library for data sharing between scripts and public functions calling. Installation. Install code, Delete LICENSE, README, readme.t
Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"
Class-balanced-loss-pytorch Pytorch implementation of the paper Class-Balanced Loss Based on Effective Number of Samples presented at CVPR'19. Yin Cui
A Python description of the Kinematic Bicycle Model with an animated example.
Kinematic Bicycle Model Abstract A python library for the Kinematic Bicycle model. The Kinematic Bicycle is a compromise between the non-linear and li
Python functions for summarizing and improving voice dictation input.
Helpmespeak Help me speak uses Python functions for summarizing and improving voice dictation input. Get started with OpenAI gpt-3 OpenAI is a amazing
SPEAR: Semi suPErvised dAta progRamming
Semi-Supervised Data Programming for Data Efficient Machine Learning SPEAR is a library for data programming with semi-supervision. The package implem
Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs
Context-Aware-Healthcare Codes for AAAI 2022 paper: Context-aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs Download
A simple Monte Carlo simulation using Python and matplotlib library
Monte Carlo python simulation Install linux dependencies sudo apt update sudo apt install build-essential \ software-properties-commo
Persistent, stale-free, local and cross-machine caching for Python functions.
Persistent, stale-free, local and cross-machine caching for Python functions.
Python humanize functions
humanize This modest package contains various common humanization utilities, like turning a number into a fuzzy human-readable duration ("3 minutes ag
A(Sync) Interface for internal Audible API written in pure Python.
Audible Audible is a Python low-level interface to communicate with the non-publicly Audible API. It enables Python developers to create there own Aud
A library which implements low-level functions that relate to packaging and distribution of Python
What is it? Distlib is a library which implements low-level functions that relate to packaging and distribution of Python software. It is intended to
Hexa is an advanced browser.It can carry out all the functions present in a browser.
Hexa is an advanced browser.It can carry out all the functions present in a browser.It is coded in the language Python using the modules PyQt5 and sys mainly.It is gonna get developed more in the future.It is made specially for the students.Only 1 tab can be used while using it so that the students cant missuse the pandemic situation :)
A Telegram Music Bot with proper functions written in Python with Pyrogram and Py-Tgcalls.
⭐️ Yukki Music Bot ⭐️ A Telegram Music Bot written in Python using Pyrogram and Py-Tgcalls Ready to use method A Support Group and ready-to-use runnin
Two factor authentication system using azure services and python language and its api's
FUTURE READY TALENT VIRTUAL INTERSHIP PROJECT PROJECT NAME - TWO FACTOR AUTHENTICATION SYSTEM Resources used: * Azure functions(python)
A set of utility functions for working with GeoJSON annotations in Kaibu
kaibu-utils A set of utility functions for working with Kaibu. Create a new repository Create a new repository and select imjoy-team/imjoy-python-temp
Functions to analyze Cell-ID single-cell cytometry data using python language.
PyCellID (building...) Functions to analyze Cell-ID single-cell cytometry data using python language. Dependecies for this project. attrs(=21.1.0) fo
Adaptive: parallel active learning of mathematical functions
adaptive Adaptive: parallel active learning of mathematical functions. adaptive is an open-source Python library designed to make adaptive parallel fu
A module filled with many useful functions and modules in various subjects.
Usefulpy Check out the Usefulpy site Usefulpy site is not always up to date Download and Import download and install with with pip download usefulpyth
This file will contain a series of Python functions that use the Selenium library to search for elements in a web page while logging everything into a file
element_search with Selenium (Now With docstrings 😎 ) Just to mention, I'm a beginner to all this, so it it's very possible to make some mistakes The
The functions we created are included in a script. The necessary parts for pre-processing were taken. Analysis complete.
Feature-Engineering The functions we created are included in a script. The necessary parts for pre-processing were taken. Analysis complete. Business
Very useful and necessary functions that simplify working with data
Additional-function-for-pandas Very useful and necessary functions that simplify working with data random_fill_nan(module_name, nan) - Replaces all sp
Prototypical python implementation of the trust-region algorithm presented in Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints by Larson, Leyffer, Kirches, and Manns.
Prototypical python implementation of the trust-region algorithm presented in Sequential Linearization Method for Bound-Constrained Mathematical Programs with Complementarity Constraints by Larson, Leyffer, Kirches, and Manns.
Built on python (Mathematical straight fit line coordinates error predictor machine learning foundational model)
Sum-Square_Error-Business-Analytical-Tool- Built on python (Mathematical straight fit line coordinates error predictor machine learning foundational m
Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV)
BayesOpt-LV Optimizing Value-at-Risk and Conditional Value-at-Risk of Black Box Functions with Lacing Values (LV) About This repository contains the s
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
Optimized Einsum Optimized Einsum: A tensor contraction order optimizer Optimized einsum can significantly reduce the overall execution time of einsum
The blancmange curve can be visually built up out of triangle wave functions if the infinite sum is approximated by finite sums of the first few terms.
Blancmange-curve The blancmange curve can be visually built up out of triangle wave functions if the infinite sum is approximated by finite sums of th
Advanced Pandas Vault — Utilities, Functions and Snippets (by @firmai).
PandasVault — Advanced Pandas Functions and Code Snippets The only Pandas utility package you would ever need. It has no exotic external dependencies
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and many other libraries. Documenta
Bottleneck a collection of fast, NaN-aware NumPy array functions written in C.
Bottleneck Bottleneck is a collection of fast, NaN-aware NumPy array functions written in C. As one example, to check if a np.array has any NaNs using
Learning Continuous Signed Distance Functions for Shape Representation
DeepSDF This is an implementation of the CVPR '19 paper "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" by Park et a
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis.
Kaggler is a Python package for lightweight online machine learning algorithms and utility functions for ETL and data analysis. It is distributed under the MIT License.
A collection of utility functions to prototype geometry processing research in python
gpytoolbox This repo is a work in progress and contains general utility functions I have needed to code while trying to work on geometry process resea
Fast 1D and 2D histogram functions in Python
About Sometimes you just want to compute simple 1D or 2D histograms with regular bins. Fast. No nonsense. Numpy's histogram functions are versatile, a
Create beautiful diagrams just by typing mathematical notation in plain text.
Penrose Penrose is an early-stage system that is still in development. Our system is not ready for contributions or public use yet, but hopefully will
A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and motion planning
pybullet-planning (previously ss-pybullet) A repository of PyBullet utility functions for robotic motion planning, manipulation planning, and task and
A basic Ray Tracer that exploits numpy arrays and functions to work fast.
Python-Fast-Raytracer A basic Ray Tracer that exploits numpy arrays and functions to work fast. The code is written keeping as much readability as pos
An alternative app for core Armoury Crate functions.
NoROG DISCLAIMER: Use at your own risk. This is alpha-quality software. It has not been extensively tested, though I personally run it daily on my lap
Learning Modified Indicator Functions for Surface Reconstruction
Learning Modified Indicator Functions for Surface Reconstruction In this work, we propose a learning-based approach for implicit surface reconstructio
A* (with 2 heuristic functions), BFS , DFS and DFS iterativeA* (with 2 heuristic functions), BFS , DFS and DFS iterative
Descpritpion This project solves the Taquin game (jeu de taquin) problem using different algorithms : A* (with 2 heuristic functions), BFS , DFS and D
InvTorch: memory-efficient models with invertible functions
InvTorch: Memory-Efficient Invertible Functions This module extends the functionality of torch.utils.checkpoint.checkpoint to work with invertible fun
A Lite Package focuses on making overwrite and mending functions easier and more flexible.
Overwrite Make Overwrite More flexible In Python A Lite Package focuses on making overwrite and mending functions easier and more flexible. Certain Me
A hobby project which includes a hand-gesture based virtual piano using a mobile phone camera and OpenCV library functions
Overview This is a hobby project which includes a hand-gesture controlled virtual piano using an android phone camera and some OpenCV library. My moti
Pyfunctools is a module that provides functions, methods and classes that help in the creation of projects in python
Pyfunctools Pyfunctools is a module that provides functions, methods and classes that help in the creation of projects in python, bringing functional
A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions
A distributed, plug-n-play algorithm for multi-robot applications with a priori non-computable objective functions Kapoutsis, A.C., Chatzichristofis,
Automated testing tool developed in python for Advanced mathematical operations.
Advanced-Maths-Operations-Validations Automated testing tool developed in python for Advanced mathematical operations. Requirements Python 3.5 or late
A Python module for parallel optimization of expensive black-box functions
blackbox: A Python module for parallel optimization of expensive black-box functions What is this? A minimalistic and easy-to-use Python module that e
A simple and easy to use collection of random python functions.
A simple and easy to use collection of random python functions.
Dill_tils is a package that has my commonly used functions inside it for ease of use.
DilllonB07 Utilities Dill_tils is a package that has my commonly used functions inside it for ease of use. Installation Anyone can use this package by
Exploring basic lambda calculus in Python
Lambda Exploring basic lambda calculus in Python. In this repo I have used the lambda function built into python to get a more intiutive feel of lambd
A python package containing all the basic functions and classes for python. From simple addition to advanced file encryption.
A python package containing all the basic functions and classes for python. From simple addition to advanced file encryption.
Introduction to image processing, most used and popular functions of OpenCV
👀 OpenCV 101 Introduction to image processing, most used and popular functions of OpenCV go here.
Kanmail - An email client that functions like a kanban board, for Mac/Windows/Docker
Kanmail - An email client that functions like a kanban board, for Mac/Windows/Docker
small package with utility functions for analyzing (fly) calcium imaging data
fly2p Tools for analyzing two-photon (2p) imaging data collected with Vidrio Scanimage software and micromanger. Loading scanimage data relies on scan
Python functions to run WASS stereo wave processing executables, and load and post process WASS output files.
wass-pyfuns Python functions to run the WASS stereo wave processing executables, and load and post process the WASS output files. General WASS (Waves
A library of functions that can be used to manage the download of claims from the LBRY network.
lbrytools A library of functions that can be used to manage the download of claims from the LBRY network. It includes methods to download claims by UR
Code for Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions
EMS-COLS-recourse Initial Code for Low-Cost Algorithmic Recourse for Users With Uncertain Cost Functions Folder structure: data folder contains raw an
This is python script that will extract the functions call in all used DLL in an executable and then provide a mapping of those functions to the attack classes defined and curated malapi.io.
F2Amapper This is python script that will extract the functions call in all used DLL in an executable and then provide a mapping of those functions to
Python @deprecat decorator to deprecate old python classes, functions or methods.
deprecat Decorator Python @deprecat decorator to deprecate old python classes, functions or methods. Installation pip install deprecat Usage To use th
Exchange indicators & Basic functions for Binance API.
binance-ema Exchange indicators & Basic functions for Binance API. This python library has been written to calculate SMA, EMA, MACD etc. functions wit
Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions
Aquarius Aquarius - Enabling Fast, Scalable, Data-Driven Virtual Network Functions NOTE: We are currently going through the open-source process requir
Python3 library for multimedia functions at the command terminal
TERMINEDIA This is a Python library allowing using a text-terminal as a low-resolution graphics output, along with keyboard realtime reading, and a co
A liblary whre you can find helpful functions for your discord bot
DBotUtils A liblary whre you can find helpful functions for your discord bot Easy setup Setup is easily and flexible. Change anytime. After setup just
The sequel to SquidNet. It has many of the previous features that were in the original script, however a lot of the functions that do not serve much functionality have been removed.
SquidNet2 The sequel to SquidNet. It has many of the previous features that were in the original script, however a lot of the functions that do not se
A program that looks through entered text and replaces certain commands with mathematical symbols
TextToSymbolConverter A program that looks through entered text and replaces certain commands with mathematical symbols Example: Syntax: Enter text in
Gradient representations in ReLU networks as similarity functions
Gradient representations in ReLU networks as similarity functions by Dániel Rácz and Bálint Daróczy. This repo contains the python code related to our
Code of Periodic Activation Functions Induce Stationarity
Periodic Activation Functions Induce Stationarity This repository is the official implementation of the methods in the publication: L. Meronen, M. Tra
Use Jax functions in Pytorch with DLPack
Use Jax functions in Pytorch with DLPack
The micro-framework to create dataframes from functions.
The micro-framework to create dataframes from functions.
my own python useful functions
PythonToolKit Motivation This Repo should help save time for data scientists' daily work regarding the Time Series regression task by providing functi
Implements Stacked-RNN in numpy and torch with manual forward and backward functions
Recurrent Neural Networks Implements simple recurrent network and a stacked recurrent network in numpy and torch respectively. Both flavours implement
This repository contains all source code, pre-trained models related to the paper "An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator"
An Empirical Study on GANs with Margin Cosine Loss and Relativistic Discriminator This is a Pytorch implementation for the paper "An Empirical Study o
Run functions in parallel easily, with their results typed correctly!
typesafe_parmap pip install pip install typesafe-parmap Run functions in parallel safely with typesafe parmap! GitHub: https://github.com/thejaminato
A telegram bot providing recon and research functions for bug bounty research
Bug Bounty Bot A telegram bot with commands to simplify bug bounty tasks Installation Use Road Map Installation BugBountyBot is open-source so you can
Cohort Intelligence used to solve various mathematical functions
Cohort-Intelligence-for-Mathematical-Functions About Cohort Intelligence : Cohort Intelligence ( CI ) is an optimization technique. It attempts to mod
Generate your personal 8-bit avatars using Cellular Automata, a mathematical model that simulates life, survival, and extinction
Try the interactive demo here ✨ ✨ Sprites-as-a-Service is an open-source web application that allows you to generate custom 8-bit sprites using Cellul
Lenia - Mathematical Life Forms
For full version list, see Timeline in Lenia portal [2020-10-13] Update Python version with multi-kernel and multi-channel extensions (v3.4 LeniaNDK.p
Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train format
ttopt Description Gradient-free global optimization algorithm for multidimensional functions based on the low rank tensor train (TT) format and maximu
Classes and functions for animated text and graphics on an LED display
LEDarcade A collection of classes and functions for animated text and graphics on an Adafruit LED Matrix.
A set of functions compatible with the TIC-80 platform
Pygame-80 A set of functions from TIC-80 tiny computer platform ported to Pygame 2.0.1. Many of them are designed to work with the NumPy library to im
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
Bittensor - an open, decentralized, peer-to-peer network that functions as a market system for the development of artificial intelligence
At Bittensor, we are creating an open, decentralized, peer-to-peer network that functions as a market system for the development of artificial intelligence.
Opasium AI was specifically designed for the Opasium Games discord only. It is a bot that covers the basic functions of any other bot.
OpasiumAI Opasium AI was specifically designed for the Opasium Games discord only. It is a bot that covers the basic functions of any other bot. Insta
Detect the mathematical formula from the given picture and the same formula is extracted and converted into the latex code
Mathematical formulae extractor The goal of this project is to create a learning based system that takes an image of a math formula and returns corres
A powerful data analysis package based on mathematical step functions. Strongly aligned with pandas.
The leading use-case for the staircase package is for the creation and analysis of step functions. Pretty exciting huh. But don't hit the close button
Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions
README Repository containing the code for the paper "Safe Model-Based Reinforcement Learning using Robust Control Barrier Functions". Specifically, an
Helpful functions for use alongside the rich Python library.
🔧 Rich Tools A python package with helpful functions for use alongside with the rich python library. The current features are: Convert a Pandas
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021)
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation (ICCV 2021) This repository contains the official implemen
A python library for creating Slack slash commands using AWS Lambda Functions
slashbot Slashbot makes it easy to create slash commands using AWS Lambda functions. These can be handy for creating a secure way to execute automated
Fancy data functions that will make your life as a data scientist easier.
WhiteBox Utilities Toolkit: Tools to make your life easier Fancy data functions that will make your life as a data scientist easier. Installing To ins
Implementations of Machine Learning models, Regularizers, Optimizers and different Cost functions.
Linear Models Implementations of LinearRegression, LassoRegression and RidgeRegression with appropriate Regularizers and Optimizers. Linear Regression
Dahua Console, access internal debug console and/or other researched functions in Dahua devices.
Dahua Console, access internal debug console and/or other researched functions in Dahua devices.
Implement some metaheuristics and cost functions
Metaheuristics This repot implement some metaheuristics and cost functions. Metaheuristics JAYA Implement Jaya optimizer without constraints. Cost fun
OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.
OptaPy is an AI constraint solver for Python to optimize the Vehicle Routing Problem, Employee Rostering, Maintenance Scheduling, Task Assignment, School Timetabling, Cloud Optimization, Conference Scheduling, Job Shop Scheduling, Bin Packing and many more planning problems.
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces(ICML 2021)
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces(ICML 2021) This repository contains the code
Conveniently measures the time of your loops, contexts and functions.
Conveniently measures the time of your loops, contexts and functions.
Criando Lambda Functions para Ingerir Dados de APIs com AWS CDK
LIVE001 - AWS Lambda para Ingerir Dados de APIs Fazer o deploy de uma função lambda com infraestrutura como código Lambda vai numa API externa e extra
distfit - Probability density fitting
Python package for probability density function fitting of univariate distributions of non-censored data