1001 Repositories
Python fast-algorithm Libraries
A fast Python implementation of Ac Auto Mechine
A fast Python implementation of Ac Auto Mechine
Simple implementation of authentication in projects using FastAPI
Fast Auth Facilita implementação de um sistema de autenticação básico e uso de uma sessão de banco de dados em projetos com tFastAPi. Instalação e con
A collection of robust and fast processing tools for parsing and analyzing web archive data.
ChatNoir Resiliparse A collection of robust and fast processing tools for parsing and analyzing web archive data. Resiliparse is part of the ChatNoir
Fast pattern fetcher, Takes a URLs list and outputs the URLs which contains the parameters according to the specified pattern.
Fast Pattern Fetcher (fpf) Coded with 3 by HS Devansh Raghav Fast Pattern Fetcher, Takes a URLs list and outputs the URLs which contains the paramete
Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments
FAR Planner uses a dynamically updated visibility graph for fast replanning. The planner models the environment with polygons and builds a global visi
A webapp for taking fast notes, designed for business, school, and collaboration with groups.
JOTS Journal of the Session A webapp for taking fast notes, designed for business, school, and collaboration with groups.
Pytorch library for fast transformer implementations
Transformers are very successful models that achieve state of the art performance in many natural language tasks
Two fast AUC calculation implementations for python
fastauc Two fast AUC calculation implementations for python: python-based is approximately 5X faster than the default sklearn.metrics.roc_auc_score()
Fast python tool to test apache path traversal CVE-2021-41773 in a List of url
CVE-2021-41773 Fast python tool to test apache path traversal CVE-2021-41773 in a List of url Usage :- create a live urls file and use the flag "-l" p
Implementing DeepMind's Fast Reinforcement Learning paper
Fast Reinforcement Learning This is a repo where I implement the algorithms in the paper, Fast reinforcement learning with generalized policy updates.
Pipeline and Dataset helpers for complex algorithm evaluation.
tpcp - Tiny Pipelines for Complex Problems A generic way to build object-oriented datasets and algorithm pipelines and tools to evaluate them pip inst
This is the repository of shape matching algorithm Iterative Rotations and Assignments (IRA)
Description This is the repository of shape matching algorithm Iterative Rotations and Assignments (IRA), described in the publication [1]. Directory
code for Fast Point Cloud Registration with Optimal Transport
robot This is the repository for the paper "Accurate Point Cloud Registration with Robust Optimal Transport". We are in the process of refactoring the
Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's algorithm.
Bayes-Newton Bayes-Newton is a library for approximate inference in Gaussian processes (GPs) in JAX (with objax), built and actively maintained by Wil
toldium is a modular, fast, reliable and customizable multiplatform bot library for your communities
toldium The easy multiplatform bot toldium is a modular, fast, reliable and customizable multiplatform bot library for your communities, from a commun
This codebase facilitates fast experimentation of differentially private training of Hugging Face transformers.
private-transformers This codebase facilitates fast experimentation of differentially private training of Hugging Face transformers. What is this? Why
Send rockets to Mars with artificial intelligence(Genetic algorithm) in python.
Send Rockets To Mars With AI Send rockets to Mars with artificial intelligence(Genetic algorithm) in python. Tools Python 3 EasyDraw How to Play Insta
A variant of LinUCB bandit algorithm with local differential privacy guarantee
Contents LDP LinUCB Description Model Architecture Dataset Environment Requirements Script Description Script and Sample Code Script Parameters Launch
Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*
Developed an optimized algorithm which finds the most optimal path between 2 points in a 3D Maze using various AI search techniques like BFS, DFS, UCS, Greedy BFS and A*. The algorithm was extremely optimal running in ~15s to ~30s for search spaces as big as 10000000 nodes where a set of 18 actions could be performed at each node in the 3D Maze.
Freaky fast fuzzy Denite/CtrlP matcher for vim/neovim
Freaky fast fuzzy Denite/CtrlP matcher for vim/neovim This is a matcher plugin for denite.nvim and CtrlP.
The fastest way to copy to (not from) high speed flash storage.
FastestCopy The fastest way to copy to (not from) high speed flash storage. This is about 3-6x faster than file copy on explorer.exe to usb flash driv
This project is based on our SIGGRAPH 2021 paper, ROSEFusion: Random Optimization for Online DenSE Reconstruction under Fast Camera Motion .
ROSEFusion 🌹 This project is based on our SIGGRAPH 2021 paper, ROSEFusion: Random Optimization for Online DenSE Reconstruction under Fast Camera Moti
AWS Lambda Fast API starter application
AWS Lambda Fast API Fast API starter application compatible with API Gateway and Lambda Function. How to deploy it? Terraform AWS Lambda API is a reus
Download Youtube videos in mp4 format in a fast, easy, convenient way made with Python!
yt_downloader Download Youtube videos in mp4 format in a fast, easy, convenient way made with Python! Required Modules pytube os time colorama Errors
A Number Recognition algorithm
Paddle-VisualAttention Results_Compared SVHN Dataset Methods Steps GPU Batch Size Learning Rate Patience Decay Step Decay Rate Training Speed (FPS) Ac
Implementation of Bagging and AdaBoost Algorithm
Bagging-and-AdaBoost Implementation of Bagging and AdaBoost Algorithm Dataset Red Wine Quality Data Sets For simplicity, we will have 2 classes of win
Decision Border Visualizer for Classification Algorithms
dbv Decision Border Visualizer for Classification Algorithms Project description A python package for Machine Learning Engineers who want to visualize
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
Path finding algorithm visualizer with python
path-finding-algorithm-visualizer ~ click on the grid to place the starting block and then click elsewhere to add the end block ~ click again to place
Bionic is Python Framework for crafting beautiful, fast user experiences for web and is free and open source.
Bionic is Python Framework for crafting beautiful, fast user experiences for web and is free and open source. Getting Started This is an example of ho
Fast and Easy-to-use Distributed Graph Learning for PyTorch Geometric
Fast and Easy-to-use Distributed Graph Learning for PyTorch Geometric
0hh1 solver for the web (selenium) and also for mobile (adb)
0hh1 - Solver Aims to solve the '0hh1 puzzle' for all the sizes (4x4, 6x6, 8x8, 10x10 12x12). for both the web version (using selenium) and on android
QQ Browser 2021 AI Algorithm Competition Track 1 1st Place Program
QQ Browser 2021 AI Algorithm Competition Track 1 1st Place Program
The codes of paper 'Active-LATHE: An Active Learning Algorithm for Boosting the Error exponent for Learning Homogeneous Ising Trees'
Active-LATHE: An Active Learning Algorithm for Boosting the Error exponent for Learning Homogeneous Ising Trees This project contains the codes of pap
Implementation of Apriori Algorithm for Association Analysis
Implementation of Apriori Algorithm for Association Analysis
Covid-19 Test AI (Deep Learning - NNs) Software. Accuracy is the %96.5, loss is the 0.09 :)
Covid-19 Test AI (Deep Learning - NNs) Software I developed a segmentation algorithm to understand whether Covid-19 Test Photos are positive or negati
Fast image augmentation library and an easy-to-use wrapper around other libraries
Albumentations Albumentations is a Python library for image augmentation. Image augmentation is used in deep learning and computer vision tasks to inc
Multiband spectro-radiometric satellite image analysis with K-means cluster algorithm
Multi-band Spectro Radiomertric Image Analysis with K-means Cluster Algorithm Overview Multi-band Spectro Radiomertric images are images comprising of
Attack on Confidence Estimation algorithm from the paper "Disrupting Deep Uncertainty Estimation Without Harming Accuracy"
Attack on Confidence Estimation (ACE) This repository is the official implementation of "Disrupting Deep Uncertainty Estimation Without Harming Accura
marching Squares algorithm in python with clean code.
Marching Squares marching Squares algorithm in python with clean code. Tools Python 3 EasyDraw Creators Mohammad Dori Run the Code Installation Requir
An interactive interface for using OpenCV's GrabCut algorithm for image segmentation.
Interactive GrabCut An interactive interface for using OpenCV's GrabCut algorithm for image segmentation. Setup Install dependencies: pip install nump
An implementation of the proximal policy optimization algorithm
PPO Pytorch C++ This is an implementation of the proximal policy optimization algorithm for the C++ API of Pytorch. It uses a simple TestEnvironment t
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Graph ConvNets in PyTorch October 15, 2017 Xavier Bresson http://www.ntu.edu.sg/home/xbresson https://github.com/xbresson https://twitter.com/xbresson
Python Package for Reflection Ultrasound Computed Tomography (RUCT) Delay And Sum (DAS) Algorithm
pyruct Python Package for Reflection Ultrasound Computed Tomography (RUCT) Delay And Sum (DAS) Algorithm The imaging setup is explained in these paper
Implementation of an ordered dithering algorithm used in computer graphics
Ordered Dithering Project In this project, we use an ordered dithering method to turn an RGB image, first to a gray scale image and then, turn the gra
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)
NAS-FCOS: Fast Neural Architecture Search for Object Detection This project hosts the train and inference code with pretrained model for implementing
Code for the Weighted, Accelerated and Restarted Primal-dual algorithm. This algorithm achieves stable linear convergence for reconstruction from undersampled noisy measurements under an approximate sharpness condition. See the paper for details.
WARPd Code for the Weighted, Accelerated and Restarted Primal-dual algorithm. This algorithm achieves stable linear convergence for reconstruction fro
marching rectangles algorithm in python with clean code.
Marching Rectangles marching rectangles algorithm in python with clean code. Tools Python 3 EasyDraw Creators Mohammad Dori Run the Code Installation
Easy to use, fast, git sourced based, C/C++ package manager.
Yet Another C/C++ Package Manager Easy to use, fast, git sourced based, C/C++ package manager. Features No need to install a program, just include the
Python package to monitor the power consumption of any algorithm
CarbonAI This project aims at creating a python package that allows you to monitor the power consumption of any python function. Documentation The com
A PyTorch-based library for fast prototyping and sharing of deep neural network models.
A PyTorch-based library for fast prototyping and sharing of deep neural network models.
Zero-dependency Cryptography Python Module with a self made method
TesohhCrypt TesohhCrypt is a zero-dependency Cryptography Python Module, with a method that i made. (likely someone already made a similar one, but i
an Evolutionary Algorithm assisted GAN
EvoGAN an Evolutionary Algorithm assisted GAN ckpts
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation (CVPR 2020)
Super-BPD for Fast Image Segmentation (CVPR 2020) Introduction We propose direction-based super-BPD, an alternative to superpixel, for fast generic im
Training RNNs as Fast as CNNs
News SRU++, a new SRU variant, is released. [tech report] [blog] The experimental code and SRU++ implementation are available on the dev branch which
PyTorch implementation of the implicit Q-learning algorithm (IQL)
Implicit-Q-Learning (IQL) PyTorch implementation of the implicit Q-learning algorithm IQL (Paper) Currently only implemented for online learning. Offl
Implementation of TF-IDF algorithm to find documents similarity with cosine similarity
NLP learning Trying to learn NLP to use in my projects! Table of Contents About The Project Built With Getting Started Requirements Run Usage License
RollerScanner — Fast Port Scanner Written On Python
RollerScanner RollerScanner — Fast Port Scanner Written On Python Installation You should clone this repository using: git clone https://github.com/Ma
RevSpotify is a fast, useful telegram bot to have Spotify music on Telegram.
RevSpotify A Telegram Bot that can download music from Spotify RevSpotify is a fast, useful telegram bot to have Spotify music on Telegram. ✨ Features
D(HE)ater is a security tool can perform DoS attack by enforcing the DHE key exchange.
D(HE)ater D(HE)ater is an attacking tool based on CPU heating in that it forces the ephemeral variant of Diffie-Hellman key exchange (DHE) in given cr
Code for "Hierarchical Skills for Efficient Exploration" HSD-3 Algorithm and Baselines
Hierarchical Skills for Efficient Exploration This is the source code release for the paper Hierarchical Skills for Efficient Exploration. It contains
This repo contains the implementation of the algorithm proposed in Off-Belief Learning, ICML 2021.
Off-Belief Learning Introduction This repo contains the implementation of the algorithm proposed in Off-Belief Learning, ICML 2021. Environment Setup
Cascading Feature Extraction for Fast Point Cloud Registration (BMVC 2021)
Cascading Feature Extraction for Fast Point Cloud Registration This repository contains the source code for the paper [Arxive link comming soon]. Meth
LuSyringe is a documentation injection tool for your classes when using Fast API
LuSyringe LuSyringe is a documentation injection tool for your classes when using Fast API Benefits The main benefit is being able to separate your bu
This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorithm to summarize documents and FastAPI for the framework.
Indonesian Text Summarization Using FastAPI This is REST-API for Indonesian Text Summarization using Non-Negative Matrix Factorization for the algorit
Stochastic Gradient Trees implementation in Python
Stochastic Gradient Trees - Python Stochastic Gradient Trees1 by Henry Gouk, Bernhard Pfahringer, and Eibe Frank implementation in Python. Based on th
Federated_learning codes used for the the paper "Evaluation of Federated Learning Aggregation Algorithms" and "A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison"
Federated Distance (FedDist) This is the code accompanying the Percom2021 paper "A Federated Learning Aggregation Algorithm for Pervasive Computing: E
Extremely simple and fast extreme multi-class and multi-label classifiers.
napkinXC napkinXC is an extremely simple and fast library for extreme multi-class and multi-label classification, that focus of implementing various m
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
PyImpetus PyImpetus is a Markov Blanket based feature selection algorithm that selects a subset of features by considering their performance both indi
An Industrial Grade Federated Learning Framework
DOC | Quick Start | 中文 FATE (Federated AI Technology Enabler) is an open-source project initiated by Webank's AI Department to provide a secure comput
This is a sorting visualizer made with Tkinter.
Sorting-Visualizer This is a sorting visualizer made with Tkinter. Make sure you've installed tkinter in your system to use this visualizer pip instal
A python implementation of the Basic Photometric Stereo Algorithm
Photometric-Stereo A python implementation of the Basic Photometric Stereo Algorithm Result Usage run Photometric_Stereo.py Code Tree |data #原始数据,tga格
Reinforcement Learning with Q-Learning Algorithm on gym's frozen lake environment implemented in python
Reinforcement Learning with Q Learning Algorithm Q learning algorithm is trained on the gym's frozen lake environment. Libraries Used gym Numpy tqdm P
This repository contains a lot of short scripting programs implemented both in Python (Flask) and TypeScript (NodeJS).
fast-scripts This repository contains a lot of short scripting programs implemented both in Python (Flask) and TypeScript (NodeJS). In python These wi
PyTorch implementation of the paper Ultra Fast Structure-aware Deep Lane Detection
PyTorch implementation of the paper Ultra Fast Structure-aware Deep Lane Detection
The "breathing k-means" algorithm with datasets and example notebooks
The Breathing K-Means Algorithm (with examples) The Breathing K-Means is an approximation algorithm for the k-means problem that (on average) is bette
glow-speak is a fast, local, neural text to speech system that uses eSpeak-ng as a text/phoneme front-end.
Glow-Speak glow-speak is a fast, local, neural text to speech system that uses eSpeak-ng as a text/phoneme front-end. Installation git clone https://g
My own Unicode compression algorithm
Zee Code ZCode is a custom compression algorithm I originally developed for a competition held for the Spring 2019 Datastructures and Algorithms cours
Python3 Implementation of (Subspace Constrained) Mean Shift Algorithm in Euclidean and Directional Product Spaces
(Subspace Constrained) Mean Shift Algorithms in Euclidean and/or Directional Product Spaces This repository contains Python3 code for the mean shift a
A rule learning algorithm for the deduction of syndrome definitions from time series data.
README This project provides a rule learning algorithm for the deduction of syndrome definitions from time series data. Large parts of the algorithm a
Fast, accurate and reliable software for algebraic CT reconstruction
KCT CBCT Fast, accurate and reliable software for algebraic CT reconstruction. This set of software tools includes OpenCL implementation of modern CT
abess: Fast Best-Subset Selection in Python and R
abess: Fast Best-Subset Selection in Python and R Overview abess (Adaptive BEst Subset Selection) library aims to solve general best subset selection,
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
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
A solution to the 2D Ising model of ferromagnetism, implemented using the Metropolis algorithm
Solving the Ising model on a 2D lattice using the Metropolis Algorithm Introduction The Ising model is a simplified model of ferromagnetism, the pheno
A GUI visualization of QuickSort algorithm
QQuickSort A simple GUI visualization of QuickSort algorithm. It only uses PySide6, it does not have any other external dependency. How to run Install
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet)
ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss (HDCWNet) (
Fast Style Transfer in TensorFlow
Fast Style Transfer in TensorFlow Add styles from famous paintings to any photo in a fraction of a second! You can even style videos! It takes 100ms o
A raw implementation of the nearest insertion algorithm to resolve TSP problems in a TXT format.
TSP-Nearest-Insertion A raw implementation of the nearest insertion algorithm to resolve TSP problems in a TXT format. Instructions Load a txt file wi
The code for paper Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm
Quantum Qubit Rotation Algorithm Single qubit rotation gates $$ U(\Theta)=\bigotimes_{i=1}^n R_x (\phi_i) $$ QQRA for the max-cut problem This code wa
Source code for The Power of Many: A Physarum Swarm Steiner Tree Algorithm
Physarum-Swarm-Steiner-Algo Source code for The Power of Many: A Physarum Steiner Tree Algorithm Code implements ideas from the following papers: Sher
This folder contains the implementation of the multi-relational attribute propagation algorithm.
MrAP This folder contains the implementation of the multi-relational attribute propagation algorithm. It requires the package pytorch-scatter. Please
The implementation of FOLD-R++ algorithm
FOLD-R-PP The implementation of FOLD-R++ algorithm. The target of FOLD-R++ algorithm is to learn an answer set program for a classification task. Inst
Documentation and issues for Pylance - Fast, feature-rich language support for Python
Documentation and issues for Pylance - Fast, feature-rich language support for Python
Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm.
Naive-Bayes Spam Classificator Module is created to build a spam filter using Python and the multinomial Naive Bayes algorithm. Main goal is to code a
Fast discord token checker with high cpm
Discord-Token-checker Fast discord token checker with high cpm preivew Download git clone https://github.com/TusTusDev/Discord-Token-checker pip insta
A simple python program to sign text using either the RSA or ISRSAC algorithm with GUI built using tkinter library.
Digital Signatures using ISRSAC Algorithm A simple python program to sign text using either the RSA or ISRSAC algorithm with GUI built using tkinter l
A gui application to visualize various sorting algorithms using pure python.
Sorting Algorithm Visualizer A gui application to visualize various sorting algorithms using pure python. Language : Python 3 Libraries required Tkint