544 Repositories
Python evolutionary-search Libraries
Official implementation of "Path Planning using Neural A* Search" (ICML-21)
Path Planning using Neural A* Search (ICML 2021) This is a repository for the following paper: Ryo Yonetani*, Tatsunori Taniai*, Mohammadamin Barekata
One line to host them all. Bootstrap your image search case in minutes.
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 is a Autonomous (self-hosted) Bittorrent Network Search Engine.
Explorer Explorer is a Autonomous (self-hosted) Bittorrent Network Search Engine. About The Project Screenshots Supported features Number Feature 1 DH
Display, filter and search log messages in your terminal
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
Melissa Songs is a telegram bot to easily find songs sending music snippets and search tracks 💃🏽🎵
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
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
Optical Character Recognition + Instance Segmentation for russian and english languages
Распознавание рукописного текста в школьных тетрадях Соревнование, проводимое в рамках олимпиады НТО, разработанное Сбером. Платформа ODS. Результаты
ISNAS-DIP: Image Specific Neural Architecture Search for Deep Image Prior [CVPR 2022]
ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior (CVPR 2022) Metin Ersin Arican*, Ozgur Kara*, Gustav Bredell, Ender Konukogl
As-ViT: Auto-scaling Vision Transformers without Training
As-ViT: Auto-scaling Vision Transformers without Training [PDF] Wuyang Chen, Wei Huang, Xianzhi Du, Xiaodan Song, Zhangyang Wang, Denny Zhou In ICLR 2
Framework for evaluating ANNS algorithms on billion scale datasets.
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
CLIPfa: Connecting Farsi Text and Images OpenAI released the paper Learning Transferable Visual Models From Natural Language Supervision in which they
Red Team Toolkit is an Open-Source Django Offensive Web-App which is keeping the useful offensive tools used in the red-teaming together.
RedTeam Toolkit Note: Only legal activities should be conducted with this project. Red Team Toolkit is an Open-Source Django Offensive Web-App contain
Dome - Subdomain Enumeration Tool. Fast and reliable python script that makes active and/or passive scan to obtain subdomains and search for open ports.
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: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT
LightHuBERT LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT | Github | Huggingface | SUPER
Dieser Scanner findet Websites, die nicht direkt in Suchmaschinen auftauchen, aber trotzdem erreichbar sind.
Deep Web Scanner Dieses Script findet Websites, die per IPv4-Adresse erreichbar sind und speichert deren Metadaten. Die Ausgabe im Terminal wird nach
SIGIR'22 paper: Axiomatically Regularized Pre-training for Ad hoc Search
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
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: End-to-End One-Step Person Search With Transformers (CVPR2022)
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
[arXiv22] Disentangled Representation Learning for Text-Video Retrieval
Disentangled Representation Learning for Text-Video Retrieval This is a PyTorch implementation of the paper Disentangled Representation Learning for T
A tool to make easy to search for directories in the URL.
Welcome to Brutos Directory Scanner 🚀 The Brutos is a python script used to provide agility in obtaining verifications to informations about related
Ensemble Knowledge Guided Sub-network Search and Fine-tuning for Filter Pruning
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) - a GDB plug-in for GDB command prompt with fzf history search, fish-like autosuggestions, auto-completion with floating window, partial string matching in history, and more!
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 webbrowser with its own Search Engine
Grape 🔎 A Web Browser made entirely in python. Search Engine 🔎 Installation: F
Udacity's CS101: Intro to Computer Science - Building a Search Engine
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 more POCs
Sploitus Command line search tool for sploitus.com. Think searchsploit, but with
Kroomsa: A search engine for the curious
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 with redis in python
py-instant-search-redis Source code example for how to build an instant search (
GEA - Code for Guided Evolution for Neural Architecture Search
Efficient Guided Evolution for Neural Architecture Search Usage Create a conda e
EmailAll - a powerful Email Collect tool
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
B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search This is the offical implementation of the
Search & download music from a certain streaming service
Search & download music from a certain streaming service
DrNAS: Dirichlet Neural Architecture Search
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
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
CATE: Computation-aware Neural Architecture Encoding with Transformers Code for paper: CATE: Computation-aware Neural Architecture Encoding with Trans
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
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
SGPT: Multi-billion parameter models for semantic search This repository contains code, results and pre-trained models for the paper SGPT: Multi-billi
Create a semantic search engine with a neural network (i.e. BERT) whose knowledge base can be updated
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).
Geowifi 📡 💘 🌎 Search WiFi geolocation data by BSSID and SSID on different public databases.
Geowifi 📡 💘 🌎 Search WiFi geolocation data by BSSID and SSID on different public databases.
This repository contains python code necessary to replicated the experiments performed in our paper "Invariant Ancestry Search"
InvariantAncestrySearch This repository contains python code necessary to replicated the experiments performed in our paper "Invariant Ancestry Search
FLIght SCheduling OPTimization - a simple optimization library for flight scheduling and related problems in the discrete domain
Fliscopt FLIght SCheduling OPTimization 🛫 or fliscopt is a simple optimization library for flight scheduling and related problems in the discrete dom
This repository is the code of the paper Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies
ES_OTN_Public Carlos Güemes Palau, Paul Almasan, Pere Barlet Ros, Albert Cabellos Aparicio Contact us: [email protected], contactus@bn
An unofficial API for lyricsfreak.com using django and django rest framework.
An unofficial API for lyricsfreak.com using django and django rest framework.
Using A * search algorithm and GBFS search algorithm to solve the Romanian problem
Romanian-problem-using-Astar-and-GBFS Using A * search algorithm and GBFS search algorithm to solve the Romanian problem Romanian problem: The agent i
Basic sort and search algorithms written in python.
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.
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.
Download Web-10K data by querying Bing Image Search
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)
A chess engine with basic AI capabilities (search for best move using MinMax algorithm)
YouTube-Discord-Bot - Discord Bot to Search YouTube
YouTube Bot Info YouTube Bot is a discord bot where you can search for anything
TG-searcherBot - Search any channel/chat from keyword
TG-searcherBot Search any channel/chat from keyword. Commands /start - Starts th
An evolutionary multi-agent platform based on mesa and NEAT
An evolutionary multi-agent platform based on mesa and NEAT
8 Puzzle with A* , Greedy & BFS Search in Python
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
Searches the word list in Wordle based on search pattern.
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
Search stock images (e.g. via Unsplash) and save them to your Wagtail image library.
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
Tensorflow Implementation of A Generative Flow for Text-to-Speech via Monotonic Alignment Search
The following links explain a bit the idea of semantic search and how search mechanisms work by doing retrieve and rerank
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: Web Search Behavior in Novice and Expert Programmers
Debugging with Stack Overflow: ICSE SEET, 2022 This is the GitHub repository associated with the 2022 ICSE SEET paper, Debugging with Stack Overflow:
Pytorch implementation code for [Neural Architecture Search for Spiking Neural Networks]
Neural Architecture Search for Spiking Neural Networks Pytorch implementation code for [Neural Architecture Search for Spiking Neural Networks] (https
This code is part of the reproducibility package for the SANER 2022 paper "Generating Clarifying Questions for Query Refinement in Source Code Search".
Clarifying Questions for Query Refinement in Source Code Search This code is part of the reproducibility package for the SANER 2022 paper "Generating
Adaptable tools to make reinforcement learning and evolutionary computation algorithms.
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 implementation using Tensorflow framework and the source code data from the CodeSearchNet project
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: Grouped Operation Dropout for Differentiable Architecture Search DropNAS, a grouped operation dropout method for one-level DARTS, with better
Weaviate demo with the text2vec-openai module
Weaviate demo with the text2vec-openai module This repository contains an example of how to use the Weaviate text2vec-openai module. When using this d
Reverse-ikea-image-search - A simple image of ikea search using jina.ai
IKEA Reverse Image Search This is a demo project to fetch ikea product images(IK
Canim1 - Simple python tool to search for packages without m1 wheels in poetry lockfiles
canim1 Usage Clone the repo. Run poetry install. Then you can use the tool: ❯ po
Postgres full text search options (tsearch, trigram) examples
postgres-full-text-search Postgres full text search options (tsearch, trigram) examples. Create DB CREATE DATABASE ftdb; To feed db with an example
DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency
[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper) Authors: Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang PDF:
Magicspoofing - A python3 script for search possible misconfiguration in a DNS related to security protections of email service from the domain name
A python3 script for search possible misconfiguration in a DNS related to security protections of email service from the domain name. This project is for educational use, we are not responsible for its misuse.
This repository contains FEDOT - an open-source framework for automated modeling and machine learning (AutoML)
package tests docs license stats support This repository contains FEDOT - an open-source framework for automated modeling and machine learning (AutoML
A fast, efficiency python package for searching and getting search results with many different search engines
search A fast, efficiency python package for searching and getting search results with many different search engines. Installation To install the pack
A Simple Telegram Inline Torrent Search Bot by @infotechIT
Torrent-Search-RoBot A Simple Telegram Inline Torrent Search Bot by @infotechIT. Torrent API Using api.infotech.wtf API Host Bot Deploy to Heroku Clic
GNES enables large-scale index and semantic search for text-to-text, image-to-image, video-to-video and any-to-any content form
GNES is Generic Neural Elastic Search, a cloud-native semantic search system based on deep neural network.
This project is an Algorithm Visualizer where a user can visualize algorithms like Bubble Sort, Merge Sort, Quick Sort, Selection Sort, Linear Search and Binary Search.
Algo_Visualizer This project is an Algorithm Visualizer where a user can visualize common algorithms like "Bubble Sort", "Merge Sort", "Quick Sort", "
Used Logistic Regression, Random Forest, and XGBoost to predict the outcome of Search & Destroy games from the Call of Duty World League for the 2018 and 2019 seasons.
Call of Duty World League: Search & Destroy Outcome Predictions Growing up as an avid Call of Duty player, I was always curious about what factors led
Cross-modal Retrieval using Transformer Encoder Reasoning Networks (TERN). With use of Metric Learning and FAISS for fast similarity search on GPU
Cross-modal Retrieval using Transformer Encoder Reasoning Networks This project reimplements the idea from "Transformer Reasoning Network for Image-Te
High dimensional black-box optimizer using Latent Action Monte Carlo Tree Search algorithm
LA-MCTS The code is based of paper Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search. Component LA-MCTS has thr
Connects to an active BitCoin Peer and communicates in order to locate a specific block number (height)
BitCoin-Peer-Client Connects to an active BitCoin Peer, and locates a predetermined block number (height) by downloading block headers. Once required
Search msDS-AllowedToActOnBehalfOfOtherIdentity
前言 现在进行RBCD的攻击手段主要是搜索mS-DS-CreatorSID,如果机器的创建者是我们可控的话,那就可以修改对应机器的msDS-AllowedToActOnBehalfOfOtherIdentity,利用工具SharpAllowedToAct-Modify 那我们索性也试试搜索所有计算机
Tree-based Search Graph for Approximate Nearest Neighbor Search
TBSG: Tree-based Search Graph for Approximate Nearest Neighbor Search. TBSG is a graph-based algorithm for ANNS based on Cover Tree, which is also an
EmployeeDB - Advanced Redis search functionalities on Python applied on an Employee management backend app
EmployeeDB - Advanced Redis search functionalities on Python applied on an Employee management backend app
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
applied-ml Curated papers, articles, and blogs on data science & machine learning in production. ⚙️ Figuring out how to implement your ML project? Lea
EBay-email-tracker - Scapes an entire search page of a particular item on eBay and sends regular updates to an email address
Introduction This is a project I built with the sole intent to learn more about
Alfred 4 Workflow to search through your maintained/watched/starred GitHub repositories.
Alfred 4 Workflow to search through your maintained/watched/starred GitHub repositories. Setup This workflow requires a number of Python modules. Thes
🎁 3,000,000+ Unsplash images made available for research and machine learning
The Unsplash Dataset The Unsplash Dataset is made up of over 250,000+ contributing global photographers and data sourced from hundreds of millions of
Cherche (search in French) allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers.
Cherche (search in French) allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers. Cherche is meant to be used with small to medium sized corpora. Cherche's main strength is its ability to build diverse and end-to-end pipelines.
Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift (ICCV 2021)
Π-NAS This repository provides the evaluation code of our submitted paper: Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training
A Telegram crawler to search groups and channels automatically and collect any type of data from them.
Introduction This is a crawler I wrote in Python using the APIs of Telethon months ago. This tool was not intended to be publicly available for a numb
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Face Mask Detection Face Mask Detection System built with OpenCV, Keras/TensorFlow using Deep Learning and Computer Vision concepts in order to detect
This is a python api to scrape search results from a url.
googlescrape Installation Installation is simple! # Stable version pip install googlescrape Examples from googlescrape import client scrapeClient=cli
Semantic search for quotes.
squote A semantic search engine that takes some input text and returns some (questionably) relevant (questionably) famous quotes. Built with: bert-as-
We provided a matlab implementation for an evolutionary multitasking AUC optimization framework (EMTAUC).
EMTAUC We provided a matlab implementation for an evolutionary multitasking AUC optimization framework (EMTAUC). In this code, SBGA is considered a ba
Data-Scrapping SEO - the project uses various data scrapping and Google autocompletes API tools to provide relevant points of different keywords so that search engines can be optimized
Data-Scrapping SEO - the project uses various data scrapping and Google autocompletes API tools to provide relevant points of different keywords so that search engines can be optimized; as this information is gathered, the marketing team can target the top keywords to get your company’s website higher on a results page.
Implementations of LSTM: A Search Space Odyssey variants and their training results on the PTB dataset.
An LSTM Odyssey Code for training variants of "LSTM: A Search Space Odyssey" on Fomoro. Check out the blog post. Training Install TensorFlow. Clone th
Dictionary - Application focused on word search through web scraping
Dictionary - Application focused on word search through web scraping, in addition to other functions such as dictation, spell and conjugation of syllables.
Easy-apply-bot - A LinkedIn Easy Apply bot to help with my job search.
easy-apply-bot A LinkedIn Easy Apply bot to help with my job search. Getting Started First, clone the repository somewhere onto your computer, or down
Web interface for browsing, search and filtering recent arxiv submissions
Web interface for browsing, search and filtering recent arxiv submissions
AutoGluon: AutoML for Text, Image, and Tabular Data
AutoML for Text, Image, and Tabular Data AutoGluon automates machine learning tasks enabling you to easily achieve strong predictive performance in yo
Yet another googlesearch - A Python library for executing intelligent, realistic-looking, and tunable Google searches.
yagooglesearch - Yet another googlesearch Overview yagooglesearch is a Python library for executing intelligent, realistic-looking, and tunable Google
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models
Hyperparameter Optimization of Machine Learning Algorithms This code provides a hyper-parameter optimization implementation for machine learning algor
Client - 🔥 A tool for visualizing and tracking your machine learning experiments
Weights and Biases Use W&B to build better models faster. Track and visualize all the pieces of your machine learning pipeline, from datasets to produ