662 Repositories
Python Asynchronous-Anisotropic-Diffusion-Algorithm Libraries
A rough implementation of the paper "A Steering Algorithm for Redirected Walking Using Reinforcement Learning"
A rough implementation of the paper "A Steering Algorithm for Redirected Walking Using Reinforcement Learning"
Asynchronous cache manager designed for horizontally scaled web servers.
Introduction Asynchronous cache manager designed for horizontally scaled web applications. NOTE: Currently has implementation only for FastAPI using R
Genetic Algorithm for Robby Robot based on Complexity a Guided Tour by Melanie Mitchell
Robby Robot Genetic Algorithm A Genetic Algorithm based Robby the Robot in Chapter 9 of Melanie Mitchell's book Complexity: A Guided Tour Description
Xor encryption and decryption algorithm
Folosire: Pentru encriptare: python encrypt.py parola fișier pentru criptare fișier encriptat(de tip binar) Pentru decriptare: python decrypt.p
GUI for TOAD-GAN, a PCG-ML algorithm for Token-based Super Mario Bros. Levels.
If you are using this code in your own project, please cite our paper: @inproceedings{awiszus2020toadgan, title={TOAD-GAN: Coherent Style Level Gene
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
Softlearning Softlearning is a deep reinforcement learning toolbox for training maximum entropy policies in continuous domains. The implementation is
Digital image process Basic algorithm
These are some basic algorithms that I have implemented by my hands in the process of learning digital image processing, such as mean and median filtering, sharpening algorithms, interpolation scaling algorithms, histogram equalization algorithms, etc.
Maze generator and solver with python
Procedural-Maze-Generator-Algorithms Check out my youtube channel : Auctux Ressources Thanks to Jamis Buck Book : Mazes for programmers Requirements P
Nodule Generation Algorithm Baseline and template code for node21 generation track
Nodule Generation Algorithm This codebase implements a simple baseline model, by following the main steps in the paper published by Litjens et al. for
An open source algorithm and dataset for finding poop in pictures.
The shitspotter module is where I will be work on the "shitspotter" poop-detection algorithm and dataset. The primary goal of this work is to allow for the creation of a phone app that finds where your dog pooped, because you ran to grab the doggy-bags you forgot, and now you can't find the damn thing.
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized Codes
Unleashing Transformers: Parallel Token Prediction with Discrete Absorbing Diffusion for Fast High-Resolution Image Generation from Vector-Quantized C
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation (CVPR'21)
EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation (CVPR'21) Citation If y
Implementation of MA-Trace - a general-purpose multi-agent RL algorithm for cooperative environments.
Off-Policy Correction For Multi-Agent Reinforcement Learning This repository is the official implementation of Off-Policy Correction For Multi-Agent R
Real-time ground filtering algorithm of cloud points acquired using Terrestrial Laser Scanner (TLS)
This repository contains tools to simulate the ground filtering process of a registered point cloud. The repository contains two filtering methods. The first method uses a normal vector, and fit to plane. The second method utilizes voxel adjacency, and fit to plane.
Fast Fourier Transform-accelerated Interpolation-based t-SNE (FIt-SNE)
FFT-accelerated Interpolation-based t-SNE (FIt-SNE) Introduction t-Stochastic Neighborhood Embedding (t-SNE) is a highly successful method for dimensi
An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R
largeVis This is an implementation of the largeVis algorithm described in (https://arxiv.org/abs/1602.00370). It also incorporates: A very fast algori
A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize
⚡ funk-svd funk-svd is a Python 3 library implementing a fast version of the famous SVD algorithm popularized by Simon Funk during the Neflix Prize co
A pure Python implementation of a mixed effects random forest (MERF) algorithm
Mixed Effects Random Forest This repository contains a pure Python implementation of a mixed effects random forest (MERF) algorithm. It can be used, o
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
[ICML 2021] A fast algorithm for fitting robust decision trees.
GROOT: Growing Robust Trees Growing Robust Trees (GROOT) is an algorithm that fits binary classification decision trees such that they are robust agai
Infomap is a network clustering algorithm based on the Map equation.
Infomap Infomap is a network clustering algorithm based on the Map equation. For detailed documentation, see mapequation.org/infomap. For a list of re
SHIBgreen is a cryptocurrency forked from Chia and uses the Proof of Space and Time consensus algorithm
SHIBgreen is a cryptocurrency forked from Chia and uses the Proof of Space and Time consensus algorithm
Deep Learning with PyTorch made easy 🚀 !
Deep Learning with PyTorch made easy 🚀 ! Carefree? carefree-learn aims to provide CAREFREE usages for both users and developers. It also provides a c
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Score-Based Generative Modeling through Stochastic Differential Equations This repo contains a PyTorch implementation for the paper Score-Based Genera
Unofficial Python implementation of the DNMF overlapping community detection algorithm
DNMF Unofficial Python implementation of the Discrete Non-negative Matrix Factorization (DNMF) overlapping community detection algorithm Paper Ye, Fan
A generalist algorithm for cell and nucleus segmentation.
Cellpose | A generalist algorithm for cell and nucleus segmentation. Cellpose was written by Carsen Stringer and Marius Pachitariu. To learn about Cel
An asynchronous Minecraft server wrapper written in python3 with asyncio
mark3 (WIP) A modern Minecraft server wrapper written in python3 with asyncio TODO Note: The order of the following checklist doesn't necessarily mean
Keras Implementation of Neural Style Transfer from the paper "A Neural Algorithm of Artistic Style"
Neural Style Transfer & Neural Doodles Implementation of Neural Style Transfer from the paper A Neural Algorithm of Artistic Style in Keras 2.0+ INetw
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
What is DeepHyper? DeepHyper is a software package that uses learning, optimization, and parallel computing to automate the design and development of
A music recommendation REST API which makes a machine learning algorithm work with the Django REST Framework
music-recommender-rest-api A music recommendation REST API which makes a machine learning algorithm work with the Django REST Framework How it works T
Dynamic Programming-Join Optimization Algorithm
DP-JOA Join optimization is the process of optimizing the joining, or combining, of two or more tables in a database. Here is a simple join optimizati
Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python
FlappyAI Flappy bird automation using Neuroevolution of Augmenting Topologies (NEAT) in Python Everything Used Genetic Algorithm especially NEAT conce
A simple python script that print the Mandelbrot set for every power of the formal formula.
Python Mandelbrot A simple python script that print the Mandelbrot set for every power of the formal formula.
My personal template for a discord bot, including an asynchronous database and colored logging :)
My personal template for a discord bot, including an asynchronous database and colored logging :)
Racing line optimization algorithm in python that uses Particle Swarm Optimization.
Racing Line Optimization with PSO This repository contains a racing line optimization algorithm in python that uses Particle Swarm Optimization. Requi
A place where one-off ideas/partial projects can live comfortably
A place to post ideas, partial projects, or anything else that doesn't necessarily warrant its own repo, from my mind to the web.
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection
SAGA Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection Please refer to the Jupyter notebook (Example.ipynb) for an example of using t
A deep learning object detector framework written in Python for supporting Land Search and Rescue Missions.
AIR: Aerial Inspection RetinaNet for supporting Land Search and Rescue Missions AIR is a deep learning based object detection solution to automate the
A stable algorithm for GAN training
DRAGAN (Deep Regret Analytic Generative Adversarial Networks) Link to our paper - https://arxiv.org/abs/1705.07215 Pytorch implementation (thanks!) -
Randomized Correspondence Algorithm for Structural Image Editing
===================================== README: Inpainting based PatchMatch ===================================== @Author: Younesse ANDAM @Conta
Sentiment Analysis Project using Count Vectorizer and TF-IDF Vectorizer
Sentiment Analysis Project This project contains two sentiment analysis programs for Hotel Reviews using a Hotel Reviews dataset from Datafiniti. The
Lightweight Python library for adding real-time object tracking to any detector.
Norfair is a customizable lightweight Python library for real-time 2D object tracking. Using Norfair, you can add tracking capabilities to any detecto
A high performance implementation of HDBSCAN clustering.
HDBSCAN HDBSCAN - Hierarchical Density-Based Spatial Clustering of Applications with Noise. Performs DBSCAN over varying epsilon values and integrates
Buckshot++ is a new algorithm that finds highly stable clusters efficiently.
Buckshot++: An Outlier-Resistant and Scalable Clustering Algorithm. (Inspired by the Buckshot Algorithm.) Here, we introduce a new algorithm, which we
Implements (high-dimenstional) clustering algorithm
Description Implements (high-dimenstional) clustering algorithm described in https://arxiv.org/pdf/1804.02624.pdf Dependencies python3 pytorch (=0.4)
Contains an implementation (sklearn API) of the algorithm proposed in "GENDIS: GEnetic DIscovery of Shapelets" and code to reproduce all experiments.
GENDIS GENetic DIscovery of Shapelets In the time series classification domain, shapelets are small subseries that are discriminative for a certain cl
implementation of the KNN algorithm on crab biometrics dataset for CS16
crab-knn implementation of the KNN algorithm in Python applied to biometrics data of purple rock crabs (leptograpsus variegatus) to classify the sex o
A calculator to test numbers against the collatz conjecture
The Collatz Calculator This is an algorithm custom built by Kyle Dickey, used to test numbers against the simple rules of the Collatz Conjecture.
Python: Asynchronous client for the Open-Meteo API.
Python: Asynchronous client for the Open-Meteo API. Asynchronous client for the Open-Meteo API. About Open-Meteo offers free weather forecast APIs for
🌟 Python algorithm team note for programming competition or coding test
🌟 Python algorithm team note for programming competition or coding test
A calculator to test numbers against the collatz conjecture
The Collatz Calculator This is an algorithm custom built by Kyle Dickey, used to test numbers against the simple rules of the Collatz Conjecture. Get
Resilient projection-based consensus actor-critic (RPBCAC) algorithm
Resilient projection-based consensus actor-critic (RPBCAC) algorithm We implement the RPBCAC algorithm with nonlinear approximation from [1] and focus
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,
DataCLUE: 国内首个以数据为中心的AI测评(含模型分析报告)
DataCLUE: A Benchmark Suite for Data-centric NLP You can get the english version of README. 以数据为中心的AI测评(DataCLUE) 内容导引 章节 描述 简介 介绍以数据为中心的AI测评(DataCLUE
Source code for paper "Deep Diffusion Models for Robust Channel Estimation", TBA.
diffusion-channels Source code for paper "Deep Diffusion Models for Robust Channel Estimation". Generic flow: Use 'matlab/main.mat' to generate traini
Python: Asynchronous client for the Tailscale API
Python: Asynchronous client for the Tailscale API Asynchronous client for the Tailscale API. About This package allows you to control and monitor Tail
This is a Python implementation of the HMRF algorithm on networks with categorial variables.
Salad Salad is an Open Source Python library to segment tissues into different biologically relevant regions based on Hidden Markov Random Fields. The
MASS (Mueen's Algorithm for Similarity Search) - a python 2 and 3 compatible library used for searching time series sub-sequences under z-normalized Euclidean distance for similarity.
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
Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019) This repository contains python (3.5.2) implementation of
Statistical and Algorithmic Investing Strategies for Everyone
Eiten - Algorithmic Investing Strategies for Everyone Eiten is an open source toolkit by Tradytics that implements various statistical and algorithmic
Evol is clear dsl for composable evolutionary algorithms that optimised for joy.
Evol is clear dsl for composable evolutionary algorithms that optimised for joy. Installation We currently support python3.6 and python3.7 and you can
AWS API Gateway Websocket Asynchronous Notifications Pusher
AWS API Gateway Websocket Asynchronous Pusher Fast AWS API Gateway websockets notifications' pusher using Python AsyncIO for managing asynchronous and
I coded the sha256 algorithm into python without using any modules.
sha256.py I coded the sha256 algorithm in python without using any modules. The purpose of the code was to better understand the algorithm and learn h
NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21
Climate Modeling with Neural Diffusion Equation Introduction This is the repository of our accepted ICDM 2021 paper "Climate Modeling with Neural Diff
Yolo algorithm for detection + centroid tracker to track vehicles
Vehicle Tracking using Centroid tracker Algorithm used : Yolo algorithm for detection + centroid tracker to track vehicles Backend : opencv and python
This python algorithm creates a simple house floor plan based on a user-provided CSV file.
This python algorithm creates a simple house floor plan based on a user-provided CSV file. The algorithm generates possible router placements and evaluates where a signal will be reached in every room of the floor plan.
Asynchronous wrapper для Gismeteo.ru.
aiopygismeteo Асинхронная обёртка для Gismeteo.ru. Синхронная версия здесь. Установка python -m pip install -U aiopygismeteo Документация https://aiop
A Python Tool to encrypt all types of files using AES and XOR Algorithm.
DataShield This project intends to protect user’s data, it stores files in encrypted format in device provided the passcode and path of the file. AES
A tictactoe where you never win, implemented using minimax algorithm
Unbeatable_TicTacToe A tictactoe where you never win, implemented using minimax algorithm Requirements Make sure you have the pygame module along with
A litle algorithm that i made for transform a picture in a spreadsheet.
PicsToSheets How it works? It is an algorithm designed to transform an image into a spreadsheet file. this converts image pixels to color cells of she
A priority of preferences for teacher assignment problem
Genetic-Algorithm-for-Assignment-Problem A priority of preferences for teacher assignment problem Keywords k-partition; clustering; education 4.0 Abst
Code for generating alloy / disordered structures through the special quasirandom structure (SQS) algorithm
Code for generating alloy / disordered structures through the special quasirandom structure (SQS) algorithm
Computationally efficient algorithm that identifies boundary points of a point cloud.
BoundaryTest Included are MATLAB and Python packages, each of which implement efficient algorithms for boundary detection and normal vector estimation
A generalist algorithm for cell and nucleus segmentation.
Cellpose | A generalist algorithm for cell and nucleus segmentation. Cellpose was written by Carsen Stringer and Marius Pachitariu. To learn about Cel
A GUI-based (PyQt5) tool used to design 2D linkage mechanism.
Pyslvs-UI A GUI-based (PyQt5) tool used to design 2D linkage mechanism. Planar Linkages Simulation Python-Solvespace: Kernel from Solvespace with Cyth
Rates how pog a word or user is. Not random and does have *some* kind of algorithm to it.
PogRater :D Rates how pogchamp a word is :D A fun project coded by JBYT27 using Python3 Have you ever wondered how pog a word is? Well, congrats, you
Ralebel is an interpreted, Haitian Creole programming language that aims to help Haitians by starting with the fundamental algorithm
Ralebel is an interpreted, Haitian Creole programming language that aims to help Haitians by starting with the fundamental algorithm
Rover. Finding the shortest pass by Dijkstra’s shortest path algorithm
rover Rover. Finding the shortest path by Dijkstra’s shortest path algorithm Задача Вы — инженер, проектирующий роверы-беспилотники. Вам надо спроекти
This repository details the steps in creating a Part of Speech tagger using Trigram Hidden Markov Models and the Viterbi Algorithm without using external libraries.
POS-Tagger This repository details the creation of a Part-of-Speech tagger using Trigram Hidden Markov Models to predict word tags in a word sequence.
v objective diffusion inference code for JAX.
v-diffusion-jax v objective diffusion inference code for JAX, by Katherine Crowson (@RiversHaveWings) and Chainbreakers AI (@jd_pressman). The models
Official implementation of the Implicit Behavioral Cloning (IBC) algorithm
Implicit Behavioral Cloning This codebase contains the official implementation of the Implicit Behavioral Cloning (IBC) algorithm from our paper: Impl
McGill Physics Hackathon 2021: Reaction-Diffusion Models for the Generation of Biological Patterns
DiffuseAnimals: Reaction-Diffusion Models for the Generation of Biological Patterns Introduction Reaction-diffusion equations can be utilized in order
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
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
A denoising diffusion probabilistic model synthesises galaxies that are qualitatively and physically indistinguishable from the real thing.
Realistic galaxy simulation via score-based generative models Official code for 'Realistic galaxy simulation via score-based generative models'. We us
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.
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
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
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
A minimalist implementation of score-based diffusion model
sdeflow-light This is a minimalist codebase for training score-based diffusion models (supporting MNIST and CIFAR-10) used in the following paper "A V
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
dragonscales is a highly customizable asynchronous job-scheduler framework
dragonscales 🐉 dragonscales is a highly customizable asynchronous job-scheduler framework. This framework is used to scale the execution of multiple