Python Search-algorithms Resources

Path Planning using Neural A* Search (ICML 2021) This is a repository for the following paper: Ryo Yonetani*, Tatsunori Taniai*, Mohammadamin Barekata

AutoTrader AutoTrader is Python-based platform intended to help in the development, optimisation and deployment of automated trading systems. From sim

One line to host them all. Bootstrap your image search case in minutes. Survey NOW gives the world access to customized neural image search in just on

Explorer Explorer is a Autonomous (self-hosted) Bittorrent Network Search Engine. About The Project Screenshots Supported features Number Feature 1 DH

Best Data Science Resources Hey, Data Enthusiasts out there! Finally, after lots of requests from the community I finally came up with the best free D

ML-ProjectKart 📌 Repository This kart showcases the finest collection of all projects based on machine learning, deep learning, computer vision, natu

👏 Pre- requisites to Machine Learning

Multi-Type-TD-TSR Check it out on Source Code of our Paper: Multi-Type-TD-TSR Extracting Tables from Document Images using a Multi-stage Pipeline for

Textualog Display, filter and search logging messages in the terminal. This project is powered by rich and textual. Some of the ideas and code in this

Find songs on Telegram, like on Shazam... 😎 Open on telegram · Report Bug · Request Feature ⬇️ Installation To get a local copy installed and working

H&M Fashion Image similarity search with Weaviate and DocArray This example shows how to do image similarity search using DocArray and Weaviate as Doc

Распознавание рукописного текста в школьных тетрадях Соревнование, проводимое в рамках олимпиады НТО, разработанное Сбером. Платформа ODS. Результаты

DodgeDrone: Vision-based Agile Drone Flight (ICRA 2022 Competition) Would you like to push the boundaries of drone navigation? Then participate in the

Ana's Portfolio ✌️ Welcome to my Portfolio! You will find here different Projects I have worked on (from scratch) 💪 Projects 💻 1️⃣ Hangman game (Mad

ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior (CVPR 2022) Metin Ersin Arican*, Ozgur Kara*, Gustav Bredell, Ender Konukogl

WIE-WoC IEEE-WIE presents WIE Week of Code (WIEWoC), a 3-days long open-source contribution event starting from 1st March, highlighting different pyth

As-ViT: Auto-scaling Vision Transformers without Training [PDF] Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou In ICLR 2

AI Seed Projects Start with ready code for your next AI experiment. Choose from 1000+ code templates, across a wide variety of use cases. All examples

Billion-Scale ANN http://big-ann-benchmarks.com/ Install The only prerequisite is Python (tested with 3.6) and Docker. Works with newer versions of Py

CLIPfa: Connecting Farsi Text and Images OpenAI released the paper Learning Transferable Visual Models From Natural Language Supervision in which they

Basic Machine Learning Algorithms All the basic Machine Learning Algorithms are implemented in Python using libraries Acknowledgements Machine Learnin

RedTeam Toolkit Note: Only legal activities should be conducted with this project. Red Team Toolkit is an Open-Source Django Offensive Web-App contain

Soomvaar 📌 Introduction Soomvaar is the collection of various codes implement in machine learning and machine learning algorithms with python on coll

DOME - A subdomain enumeration tool Check the Spanish Version Dome is a fast and reliable python script that makes active and/or passive scan to obtai

LightHuBERT LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT | Github | Huggingface | SUPER

Deep Web Scanner Dieses Script findet Websites, die per IPv4-Adresse erreichbar sind und speichert deren Metadaten. Die Ausgabe im Terminal wird nach

Introduction This codebase contains source-code of the Python-based implementation (ARES) of our SIGIR 2022 paper. Chen, Jia, et al. "Axiomatically Re

A Human-in-the-Loop? workflow for creating HD images from text DALL·E Flow is an interactive workflow for generating high-definition images from text

PSTR (CVPR2022) This code is an official implementation of "PSTR: End-to-End One-Step Person Search With Transformers (CVPR2022)". End-to-end one-step

Disentangled Representation Learning for Text-Video Retrieval This is a PyTorch implementation of the paper Disentangled Representation Learning for T

Welcome to Brutos Directory Scanner 🚀 The Brutos is a python script used to provide agility in obtaining verifications to informations about related

hyperbox-brain is a Python open source toolbox implementing hyperbox-based machine learning algorithms built on top of scikit-learn and is distributed

Overview of Credit Card Analysis In this project, RandomOverSampler and SMOTE algorithms were used to perform oversampling, ClusterCentroids algorithm

Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning This repository is official Tensorflow implementation of paper: Ensemb

GEP (GDB Enhanced Prompt) GEP (GDB Enhanced Prompt) is a GDB plug-in which make your GDB command prompt more convenient and flexibility. Why I need th

Grape 🔎 A Web Browser made entirely in python. Search Engine 🔎 Installation: F

Data Structures and Algorithms All the essential resources and template code nee

Udacity's CS101: Intro to Computer Science - Building a Search Engine All soluti

Sploitus Command line search tool for sploitus.com. Think searchsploit, but with

Kroomsa A search engine for the curious. It is a search algorithm designed to en

py-instant-search-redis Source code example for how to build an instant search (

How does the encrypter works? Transform your text into encrypted symbols using t

event-forecasting Event Forecasting Algorithms Theory Correlating events in comp

Efficient Guided Evolution for Neural Architecture Search Usage Create a conda e

EmailAll A powerful Email Collect tool 0x1 介绍 😲 EmailAll is a powerful Email Co

B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search This is the offical implementation of the

Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.

Cormen Lib Sample Problems Description This repository contnains sample problems with test cases using Cormen-Lib. These problems were made for the pu

Search & download music from a certain streaming service

evolvingrl Supplementary Data for Evolving Reinforcement Learning Algorithms This dataset contains 1000 loss graphs from two experiments: 500 unique g

This paper proposes a novel differentiable architecture search method by formulating it into a distribution learning problem. We treat the continuously relaxed architecture mixing weight as random variables, modeled by Dirichlet distribution.

One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking This is an official implementation for NEAS presented in CVPR

CATE: Computation-aware Neural Architecture Encoding with Transformers Code for paper: CATE: Computation-aware Neural Architecture Encoding with Trans

NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys in IEEE Transactions o

Awesome AutoDL A curated list of automated deep learning related resources. Inspired by awesome-deep-vision, awesome-adversarial-machine-learning, awe

SGPT: Multi-billion parameter models for semantic search This repository contains code, results and pre-trained models for the paper SGPT: Multi-billi

QDax: Accelerated Quality-Diversity QDax is a tool to accelerate Quality-Diveristy (QD) algorithms through hardware accelerators and massive paralleli

GeneDisco is a benchmark suite for evaluating active learning algorithms for experimental design in drug discovery.

LibRerank LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EGRer

Python red-black trees A Python implementation of red-black trees. This code was originally copied from programiz.com, but I have made a few tweaks to

Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated. This engine can later be used for downstream tasks in NLP such as Q&A, summarization, generation, and natural language understanding (NLU).

Nonlinear Optimization Algorithms During my time as Scientific Assistant at the Karlsruhe Institute of Technology (Germany) I implemented various Opti

CLASSIX Fast and explainable clustering based on sorting CLASSIX is a fast and explainable clustering algorithm based on sorting. Here are a few highl

Geowifi 📡 💘 🌎 Search WiFi geolocation data by BSSID and SSID on different public databases.

Brainda Welcome! First and foremost, Welcome! Thank you for visiting the Brainda repository which was initially released at this repo and reorganized

Codenames Code infrastructure and player algorithms for the Codenames board game. This is the active fork of mkali-personal/codenames. Intro This is b

Implementations of the algorithms in the paper Approximative Algorithms for Multi-Marginal Optimal Transport and Free-Support Wasserstein Barycenters

InvariantAncestrySearch This repository contains python code necessary to replicated the experiments performed in our paper "Invariant Ancestry Search

Fliscopt FLIght SCheduling OPTimization 🛫 or fliscopt is a simple optimization library for flight scheduling and related problems in the discrete dom

Current gate-based quantum computers have the potential to provide a computational advantage if algorithms use quantum hardware efficiently.

An unofficial API for lyricsfreak.com using django and django rest framework.

Sleep stages are classified with the help of ML. We have used 4 different ML algorithms (SVM, KNN, RF, NN) to demonstrate them.

Romanian-problem-using-Astar-and-GBFS Using A * search algorithm and GBFS search algorithm to solve the Romanian problem Romanian problem: The agent i

Balabobapy - Using artificial intelligence algorithms to continue the text

Demo-of-MCMC These files are based on the class materials of AEROSP 567 taught by Prof. Alex Gorodetsky at University of Michigan. Author: Hung-Hsiang

Built various Machine Learning algorithms (Logistic Regression, Random Forest, KNN, Gradient Boosting and XGBoost. etc). Structured a custom ensemble model and a neural network. Found a outperformed model for heart failure prediction accuracy of 88 percent.

Basic sort and search algorithms written in python. These were all developed as part of my Computer Science course to demonstrate understanding so they aren't 100% efficent

Genetic algorithms are heuristic search algorithms inspired by the process that supports the evolution of life. The algorithm is designed to replicate the natural selection process to carry generation, i.e. survival of the fittest of beings.

Deep High Dynamic Range Imaging Benchmark This repository is the pytorch impleme

CovidcasePrediction A machine learning model for Covid case prediction Problem Statement Using regression algorithms we can able to track the active c

gpv2-web10k This repository contains the script to download images from the Web-10K dataset. The script takes in a list of queries, queries Bing Image

A chess engine with basic AI capabilities (search for best move using MinMax algorithm)

YouTube Bot Info YouTube Bot is a discord bot where you can search for anything

TG-searcherBot Search any channel/chat from keyword. Commands /start - Starts th

Breast-Cancer-Classification - Using SKLearn breast cancer dataset which contains 569 examples and 32 features classifying has been made with 6 different algorithms

Acceder al código desde Google Colab para poder ver de manera adecuada todas las visualizaciones y poder interactuar con ellas. Links de acceso: Noteb

8_Puzzle 8 Puzzle with A* , Greedy & BFS Search in Python Python Install Python from here. Pip Install pip from here. How to run? 🚀 Install 8_Puzzle

Wordle Searcher Searches the word list in Wordle based on search pattern. Warning: like all forms of cheating, it trivializes the game, and robs you o

Wagtail Stock Images Search stock images (e.g. via Unsplash) and save them to your Wagtail image library. Requirements Python 3 Django = 2 Wagtail =

Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search

Main Idea The following links explain a bit the idea of semantic search and how search mechanisms work by doing retrieve and rerank Semantic Search Re

Debugging with Stack Overflow: ICSE SEET, 2022 This is the GitHub repository associated with the 2022 ICSE SEET paper, Debugging with Stack Overflow:

Self-supervised learning Self-supervised learning algorithms provide a way to train Deep Neural Networks in an unsupervised way using contrastive loss

An implementation of the Fibonacci method for gradient descent, featuring a TKinter GUI for inputting the function / parameters to be examined and a matplotlib plot of the function and results.

Neural Architecture Search for Spiking Neural Networks Pytorch implementation code for [Neural Architecture Search for Spiking Neural Networks] (https

Clarifying Questions for Query Refinement in Source Code Search This code is part of the reproducibility package for the SANER 2022 paper "Generating

Pearl The Parallel Evolutionary and Reinforcement Learning Library (Pearl) is a pytorch based package with the goal of being excellent for rapid proto

Semantic Code Search Semantic code search implementation using Tensorflow framework and the source code data from the CodeSearchNet project. The model

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search DropNAS, a grouped operation dropout method for one-level DARTS, with better

The purpose of this project is create a classification model capable of accurately predicting the price of secondhand cars. The data used for model building is open source and has been added to this repository. Most packages used are usually pre-installed in most developed environments and tools like collab, jupyter, etc. This can be useful for people looking to enhance the way the code their predicitve models and efficient ways to deal with tabular data!