939 Repositories
Python search-algorithms Libraries
A web application which you can search, buy or sell shares with current prices which provided by IEX.
CS50 - Stock Exchange A web application which you can search, buy or sell shares with current prices which provided by IEX. Table of Contents Setup St
MeiliSearch FastAPI provides FastAPI routes for interacting with MeiliSearch.
MeiliSearch FastAPI MeiliSearch FastAPI provides FastAPI routes for interacting with MeiliSearch. Installation Using a virtual environmnet is recommen
A web application to search for input products across several supermarkets' e-commerce to return price, detail of products running on Python.
Price Checker A web application to search for input products across several supermarkets' e-commerce to return price, detail of products. Requirements
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
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
Codebase for BMVC 2021 paper "Text Based Person Search with Limited Data"
Text Based Person Search with Limited Data This is the codebase for our BMVC 2021 paper. Please bear with me refactoring this codebase after CVPR dead
Data for "Driving the Herd: Search Engines as Content Influencers" paper
herding_data Data for "Driving the Herd: Search Engines as Content Influencers" paper Dataset description The collection contains 2250 documents, 30 i
Blue Brain text mining toolbox for semantic search and structured information extraction
Blue Brain Search Source Code DOI Data & Models DOI Documentation Latest Release Python Versions License Build Status Static Typing Code Style Securit
A bare-bones Python library for quality diversity optimization.
pyribs Website Source PyPI Conda CI/CD Docs Docs Status Twitter pyribs.org GitHub docs.pyribs.org A bare-bones Python library for quality diversity op
Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale.
Model Search Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers sp
A Real-Time-Strategy game for Deep Learning research
Description DeepRTS is a high-performance Real-TIme strategy game for Reinforcement Learning research. It is written in C++ for performance, but provi
Data Structures and algorithms package implementation
Documentation Simple and Easy Package --This is package for enabling basic linear and non-linear data structures and algos-- Data Structures Array Sta
Python Implementation of algorithms in Graph Mining, e.g., Recommendation, Collaborative Filtering, Community Detection, Spectral Clustering, Modularity Maximization, co-authorship networks.
Graph Mining Author: Jiayi Chen Time: April 2021 Implemented Algorithms: Network: Scrabing Data, Network Construbtion and Network Measurement (e.g., P
Implementation of Natural Language Code Search in the project CodeBERT: A Pre-Trained Model for Programming and Natural Languages.
CodeBERT-Implementation In this repo we have replicated the paper CodeBERT: A Pre-Trained Model for Programming and Natural Languages. We are interest
Finetuner allows one to tune the weights of any deep neural network for better embeddings on search tasks
Finetuner allows one to tune the weights of any deep neural network for better embeddings on search tasks
All algorithms implemented in Python for education
The Algorithms - Python All algorithms implemented in Python - for education Implementations are for learning purposes only. As they may be less effic
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
CTC Decoding Algorithms Update 2021: installable Python package Python implementation of some common Connectionist Temporal Classification (CTC) decod
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Vector AI is a framework designed to make the process of building production grade vector based applications as quickly and easily as possible. Create
A Python package implementing various HDRI / Radiance image processing algorithms.
Colour - HDRI A Python package implementing various HDRI / Radiance image processing algorithms. It is open source and freely available under the New
A Python package implementing various CFA (Colour Filter Array) demosaicing algorithms and related utilities.
Colour - Demosaicing A Python package implementing various CFA (Colour Filter Array) demosaicing algorithms and related utilities. It is open source a
This is a collection of simple PyTorch implementations of neural networks and related algorithms. These implementations are documented with explanations,
labml.ai Deep Learning Paper Implementations This is a collection of simple PyTorch implementations of neural networks and related algorithms. These i
Official PyTorch Implementation of HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning (NeurIPS 2021 Spotlight)
[NeurIPS 2021 Spotlight] HELP: Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning [Paper] This is Official PyTorch implementatio
Official implementation of deep-multi-trajectory-based single object tracking (IEEE T-CSVT 2021).
DeepMTA_PyTorch Officical PyTorch Implementation of "Dynamic Attention-guided Multi-TrajectoryAnalysis for Single Object Tracking", Xiao Wang, Zhe Che
Recommendation algorithms for large graphs
Fast recommendation algorithms for large graphs based on link analysis. License: Apache Software License Author: Emmanouil (Manios) Krasanakis Depende
EODAG is a command line tool and a plugin-oriented Python framework for searching, aggregating results and downloading remote sensed images while offering a unified API for data access regardless of the data provider
EODAG (Earth Observation Data Access Gateway) is a command line tool and a plugin-oriented Python framework for searching, aggregating results and downloading remote sensed images while offering a unified API for data access regardless of the data provider
PyTorch implementation of Constrained Policy Optimization
PyTorch implementation of Constrained Policy Optimization (CPO) This repository has a simple to understand and use implementation of CPO in PyTorch. A
An index of recommendation algorithms that are based on Graph Neural Networks.
An index of recommendation algorithms that are based on Graph Neural Networks.
Kimimaro: Skeletonize Densely Labeled Images
Kimimaro: Skeletonize Densely Labeled Images # Produce SWC files from volumetric images. kimimaro forge labels.npy --progress # writes to ./kimimaro_o
Lale is a Python library for semi-automated data science.
Lale is a Python library for semi-automated data science. Lale makes it easy to automatically select algorithms and tune hyperparameters of pipelines that are compatible with scikit-learn, in a type-safe fashion.
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Search, generate & deliver Msfvenom payloads in an quick and easy way
Goal Search, generate & deliver payloads in an quick and easy way Be as simple as possible BUT with all msfvenom payloads. Ever lost time searching th
Username reconnaisance tool that checks the availability of a specified username on over 200 websites.
Username reconnaisance tool that checks the availability of a specified username on over 200 websites. Installation & Usage Clone from Github: $ git c
Tindicators is a Python library to calculate the values of various technical indicators
Tindicators is a Python library to calculate the values of various technical indicators
A curated list of awesome resources combining Transformers with Neural Architecture Search
A curated list of awesome resources combining Transformers with Neural Architecture Search
Code and data for learning to search in local branching
Code and data for learning to search in local branching
Zora is a python program that searches for GeoLocation info for given CIDR networks , with options to search with API or without API
Zora Zora is a python program that searches for GeoLocation info for given CIDR networks , with options to search with API or without API Installing a
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
Script for scrape user data like "id,username,fullname,followers,tweets .. etc" by Twitter's search engine .
TwitterScraper Script for scrape user data like "id,username,fullname,followers,tweets .. etc" by Twitter's search engine . Screenshot Data Users Only
Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators
Cirq is a Python library for writing, manipulating, and optimizing quantum circuits and running them against quantum computers and simulators. Install
ProMP: Proximal Meta-Policy Search
ProMP: Proximal Meta-Policy Search Implementations corresponding to ProMP (Rothfuss et al., 2018). Overall this repository consists of two branches: m
Hypernets: A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
Nature-inspired algorithms are a very popular tool for solving optimization problems.
Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been develo
A simple tool for searching images inside a local folder with text/image input using CLIP
clip-search (WIP) A simple tool for searching images inside a local folder with text/image input using CLIP 10 results for "a blonde woman" in a folde
A Happy and lightweight Python Package that Provides an API to search for articles on Google News and returns a JSON response.
A Happy and lightweight Python Package that Provides an API to search for articles on Google News and returns a JSON response.
Passhunt is a simple tool for searching of default credentials for network devices, web applications and more. Search through 523 vendors and their 2084 default passwords.
Passhunt is a simple tool for searching of default credentials for network devices, web applications and more. Search through 523 vendors and their 2084 default passwords.
Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track (SIGIR 2021 Full Paper).
Optimizing Dense Retrieval Model Training with Hard Negatives Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma 🔥 News 2021-10
A visualization tool made in Pygame for various pathfinding algorithms.
Pathfinding-Visualizer 🚀 A visualization tool made in Pygame for various pathfinding algorithms. Pathfinding is closely related to the shortest path
Introduction to AI assignment 1 HCM University of Technology, term 211
Sokoban Bot Introduction to AI assignment 1 HCM University of Technology, term 211 Abstract This is basically a solver for Sokoban game using Breadth-
Python Package for DataHerb: create, search, and load datasets.
The Python Package for DataHerb A DataHerb Core Service to Create and Load Datasets.
CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search
CAPITAL: Optimal Subgroup Identification via Constrained Policy Tree Search This repository is the official implementation of CAPITAL: Optimal Subgrou
Telegram bot for searching videos in your PDisk account by @AbirHasan2005
PDisk-Videos-Search A Telegram bot for searching videos in your PDisk account by @AbirHasan2005. Configs API_ID - Get from @TeleORG_Bot API_HASH - Get
Search users in Github. Created with Flask, PipEnv, Heroku and free time.
Search in Github Here search for users in Github and other stuff! This app is working with, Data Github API BackEnd Flask Language Python Package mana
A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
doi, pubmed, arxiv.org的查询服务API接口,部署于vercel云函数
article-search-service doi, pubmed, arxiv.org的查询服务API接口,部署于vercel云函数 云函数 vercel,国内可能被qiang了。 DOI接口 POST https://article-search-service.vercel.app/api/
Framework to build and train RL algorithms
RayLink RayLink is a RL framework used to build and train RL algorithms. RayLink was used to build a RL framework, and tested in a large-scale multi-a
🧬 Performant Evolutionary Algorithms For Python with Ray support
🧬 Performant Evolutionary Algorithms For Python with Ray support
Experiments for distributed optimization algorithms
Network-Distributed Algorithm Experiments -- This repository contains a set of optimization algorithms and objective functions, and all code needed to
Crawl the information of a given keyword on Google search engine
Crawl the information of a given keyword on Google search engine
MPI Interest Group on Algorithms on 1st semester 2021
MPI Algorithms Interest Group Introduction Lecturer: Steve Yan Location: TBA Time Schedule: TBA Semester: 1 Useful URLs Typora: https://typora.io Goog
Machine Learning Algorithms
Machine-Learning-Algorithms In this project, the dataset was created through a survey opened on Google forms. The purpose of the form is to find the p
This is an amazing game make using pygame.
This is an awesome balloon game. It is made in python using Pygame library. It is a project game while learning game development.
Leetcode solutions - All algorithms implemented in Python 3 (for education)
Leetcode solutions - All algorithms implemented in Python 3 (for education)
Modified Version Of Media Search bot
Modified Version Of Media Search bot
Deep learning algorithms for muon momentum estimation in the CMS Trigger System
Deep learning algorithms for muon momentum estimation in the CMS Trigger System The Compact Muon Solenoid (CMS) is a general-purpose detector at the L
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.
Repositori untuk belajar pemrograman Python dalam bahasa Indonesia
Python Repositori ini berisi kumpulan dari berbagai macam contoh struktur data, algoritma dan komputasi matematika yang diimplementasikan dengan mengg
Azua - build AI algorithms to aid efficient decision-making with minimum data requirements.
Project Azua 0. Overview Many modern AI algorithms are known to be data-hungry, whereas human decision-making is much more efficient. The human can re
Code generation and code search for Python and Javascript.
Codeon Code generation and code search for Python and Javascript. Similar to GitHub Copilot with one major difference: Code search is leveraged to mak
googler is a power tool to Google (web, news, videos and site search) from the command-line.
googler is a power tool to Google (web, news, videos and site search) from the command-line.
This repository is for adding codes of data structures and algorithms, leetCode, hackerrank etc solutions in different languages
DSA-Code-Snippet This repository is for adding codes of data structures and algorithms, leetCode, hackerrank etc solutions in different languages Cont
This repository is a compilation of important Data Structures and Algorithms based on Python.
Python DSA 🐍 This repository is a compilation of important Data Structures and Algorithms based on Python. Please make seperate folders for different
Wagtail CLIP allows you to search your Wagtail images using natural language queries.
Wagtail CLIP allows you to search your Wagtail images using natural language queries.
deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.
deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.
Exploring Relational Context for Multi-Task Dense Prediction [ICCV 2021]
Adaptive Task-Relational Context (ATRC) This repository provides source code for the ICCV 2021 paper Exploring Relational Context for Multi-Task Dense
🧬 Training the car to do self-parking using a genetic algorithm
🧬 Training the car to do self-parking using a genetic algorithm
Reinforcement learning framework and algorithms implemented in PyTorch.
Reinforcement learning framework and algorithms implemented in PyTorch.
A framework for large scale recommendation algorithms.
A framework for large scale recommendation algorithms.
Differentiable architecture search for convolutional and recurrent networks
Differentiable Architecture Search Code accompanying the paper DARTS: Differentiable Architecture Search Hanxiao Liu, Karen Simonyan, Yiming Yang. arX
Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)
DenseNAS The code of the CVPR2020 paper Densely Connected Search Space for More Flexible Neural Architecture Search. Neural architecture search (NAS)
NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
NEATEST: Evolving Neural Networks Through Augmenting Topologies with Evolution Strategy Training
User-friendly, tiny source code searcher written by pure Python.
User-friendly, tiny source code searcher written in pure Python. Example Usages Cat is equivalent in the regular expression as '^Cat$' bor class Cat
🔍 Messages Searcher is make for search custom message in all channels in guild and dm.
🔍 Messages Searcher is make for search custom message in all channels in guild and dm.
bing image downloader app used to download bulk images for a specific search term created using streamlit and bing_image_downloader python packages
bing image downloader app bing image downloader app is used to download bulk images for a specific search term. bing image downloader app gets the sea
Ross Virtual Assistant is a programme which can play Music, search Wikipedia, open Websites and much more.
Ross-Virtual-Assistant Ross Virtual Assistant is a programme which can play Music, search Wikipedia, open Websites and much more. Installation Downloa
Find your desired product in Digikala using this app.
Digikala Search Find your desired product in Digikala using this app. با این برنامه محصول مورد نظر خود را در دیجیکالا پیدا کنید. About me Full name: M
Labelling platform for text using distant supervision
With DataQA, you can label unstructured text documents using rule-based distant supervision.
A play store search application programming interface ( API )
Play-Store-API A play store search application programming interface ( API ) Made with Python3
A play store search telegram bot
Play-Store-Bot A play store search telegram bot Made with Python3 (C) @FayasNoushad Copyright permission under MIT License License - https://github.c
Search and filter videos based on objects that appear in them using convolutional neural networks
Thingscoop: Utility for searching and filtering videos based on their content Description Thingscoop is a command-line utility for analyzing videos se
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
Advantage async actor-critic Algorithms (A3C) in PyTorch @inproceedings{mnih2016asynchronous, title={Asynchronous methods for deep reinforcement lea
PyTorch implementation of Deformable Convolution
PyTorch implementation of Deformable Convolution !!!Warning: There is some issues in this implementation and this repo is not maintained any more, ple
Implementation of algorithms for continuous control (DDPG and NAF).
DEPRECATION This repository is deprecated and is no longer maintaned. Please see a more recent implementation of RL for continuous control at jax-sac.
Incorporating KenLM language model with HuggingFace implementation of Wav2Vec2CTC Model using beam search decoding
Wav2Vec2CTC With KenLM Using KenLM ARPA language model with beam search to decode audio files and show the most probable transcription. Assuming you'v
Search Git commits in natural language
NaLCoS - NAtural Language COmmit Search Search commit messages in your repository in natural language. NaLCoS (NAtural Language COmmit Search) is a co
This is a very easy to use tool developed in python that will search for free courses from multiple sites including youtube and enroll in the ones in which it can.
Free-Course-Hunter-and-Enroller This is a very easy to use tool developed in python that will search for free courses from multiple sites including yo
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
TensorFlow Similarity is a python package focused on making similarity learning quick and easy.
Code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation".
This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation".
Rafael Project- Classifying rockets to different types using data science algorithms.
Rocket-Classify Rafael Project- Classifying rockets to different types using data science algorithms. In this project we received data base with data
Entropy-controlled contexts in Python
Python module ordered ordered module is the opposite to random - it maintains order in the program. import random x = 5 def increase(): global x