1262 Repositories
Python semantic-search-through-wikipedia-with-weaviate Libraries
Semi-supevised Semantic Segmentation with High- and Low-level Consistency
Semi-supevised Semantic Segmentation with High- and Low-level Consistency This Pytorch repository contains the code for our work Semi-supervised Seman
Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019
USSS_ICCV19 Code for Universal Semi Supervised Semantic Segmentation accepted to ICCV 2019. Full Paper available at https://arxiv.org/abs/1811.10323.
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018
Adversarial Learning for Semi-supervised Semantic Segmentation This repo is the pytorch implementation of the following paper: Adversarial Learning fo
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).
Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR2018) By Zilong Huang, Xinggang Wang, Jiasi Wang, Wenyu Liu and J
Weakly Supervised Segmentation by Tensorflow.
Weakly Supervised Segmentation by Tensorflow. Implements semantic segmentation in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).
Semi-SDP Semi-supervised parser for semantic dependency parsing.
Semi-SDP Semi-supervised parser for semantic dependency parsing. This repo contains the code used for the semi-supervised semantic dependency parser i
SemiNAS: Semi-Supervised Neural Architecture Search
SemiNAS: Semi-Supervised Neural Architecture Search This repository contains the code used for Semi-Supervised Neural Architecture Search, by Renqian
This script is intended to crawl license information of repositories through the GitHub API.
GithubLicenseCrawler This script is intended to crawl license information of repositories through the GitHub API. Taking a csv file with requirements.
Official implementation of CATs: Cost Aggregation Transformers for Visual Correspondence NeurIPS'21
CATs: Cost Aggregation Transformers for Visual Correspondence NeurIPS'21 For more information, check out the paper on [arXiv]. Training with different
Need: Image Search With Python
Need: Image Search The problem is that a user needs to search for a specific ima
Pythonic search engine based on PyLucene.
Lupyne is a search engine based on PyLucene, the Python extension for accessing Java Lucene. Lucene is a relatively low-level toolkit, and PyLucene wr
Manage your XYZ Hub or HERE Data Hub spaces from Python.
XYZ Spaces for Python Manage your XYZ Hub or HERE Data Hub spaces and Interactive Map Layer from Python. FEATURED IN: Online Python Machine Learning C
Code repository accompanying the paper "On Adversarial Robustness: A Neural Architecture Search perspective"
On Adversarial Robustness: A Neural Architecture Search perspective Preparation: Clone the repository: https://github.com/tdchaitanya/nas-robustness.g
A blind SQL injection script that uses binary search aka bisection method to dump datas from database.
Blind SQL Injection I wrote this script to solve PortSwigger Web Security Academy's particular Blind SQL injection with conditional responses lab. Bec
An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"
This is the code for the paper: MSeg: A Composite Dataset for Multi-domain Semantic Segmentation (CVPR 2020, Official Repo) [CVPR PDF] [Journal PDF] J
Using multiple API sources, create an app that allows users to filter through random locations based on their temperature range choices.
World_weather_analysis Overview Using multiple API sources, create an app that allows users to filter through random locations based on their temperat
Extract city and country mentions from Text like GeoText without regex, but FlashText, a Aho-Corasick implementation.
flashgeotext ⚡ 🌍 Extract and count countries and cities (+their synonyms) from text, like GeoText on steroids using FlashText, a Aho-Corasick impleme
txtai: Build AI-powered semantic search applications in Go
txtai: Build AI-powered semantic search applications in Go txtai executes machine-learning workflows to transform data and build AI-powered semantic s
Final project for machine learning (CSC 590). Detection of hepatitis C and progression through blood samples.
Hepatitis C Blood Based Detection Final project for machine learning (CSC 590). Dataset from Kaggle. Using data from previous hepatitis C blood panels
Generates images with semantic content from distribution A in the style of distribution B
A2B Generates images with semantic content from distribution A in the style of d
A search engine to query social media insights with political theme
social-insights Social insights is an open source big data project that generates insights about various interesting topics happening every day. Curre
Multi-Probe Attention for Semantic Indexing
Multi-Probe Attention for Semantic Indexing About This project is developed for the topic of COVID-19 semantic indexing. Directories & files A. The di
An open source, non-profit search engine implemented in python
Mwmbl: No ads, no tracking, no cruft, no profit Mwmbl is a non-profit, ad-free, free-libre and free-lunch search engine with a focus on useability and
Google Search Results via SERP API pip Python Package
Google Search Results in Python This Python package is meant to scrape and parse search results from Google, Bing, Baidu, Yandex, Yahoo, Home depot, E
A Python Script to scan through an Instagram account to find all the followers and followings.
Instagram Followers Scan A Python Script to scan through an Instagram account to find all the followers and followings. You can also get filtered list
A Pytorch Implementation of [Source data‐free domain adaptation of object detector through domain
A Pytorch Implementation of Source data‐free domain adaptation of object detector through domain‐specific perturbation Please follow Faster R-CNN and
SubGrab is a utility that allows you to automate subtitles downloading for your media files.
SubGrab - Command-line Subtitles Downloader: A utility which provides an ease for automating media i.e., Movies, TV-Series subtitle scraping from mult
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
PatZilla is a modular patent information research platform and data integration toolkit with a modern user interface and access to multiple data sources.
ForFinder is a search tool for folder and files
ForFinder is a search tool for folder and files. You can use that when you Source Code Analysis at your project's local files or other projects that you are download. Enter a root path and keyword to ForFinder.
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation by Junjue Wang, Zhuo Zheng, Ailong Ma, Xiaoyan Lu, and Yanfei Zh
SeMask: Semantically Masked Transformers for Semantic Segmentation.
SeMask: Semantically Masked Transformers Jitesh Jain, Anukriti Singh, Nikita Orlov, Zilong Huang, Jiachen Li, Steven Walton, Humphrey Shi This repo co
Index different CKAN entities in Solr, not just datasets
ckanext-sitesearch Index different CKAN entities in Solr, not just datasets Requirements This extension requires CKAN 2.9 or higher and Python 3 Featu
Takes a string and puts it through different languages in Google Translate a requested amount of times, returning nonsense.
PythonTextObfuscator Takes a string and puts it through different languages in Google Translate a requested amount of times, returning nonsense. Requi
🐥Flappy Birds🐤 Video game. With your help I can go through🚀 the pipes. All UI is made with 🐍Pygame🐍
🐠 Flappy Fish 🐢 I am Flappy Fish 🐟 . With your help I can jump through the pipes and experience an interesting and exciting flight deep into the fi
Aria & Qbittorent Mirror Bot
Eunha Mirror Eunha Mirror is a multipurpose Telegram Bot writen in Python for mirroring files on the Internet to our beloved Google Drive. Features su
Official Implementation of VAT
Semantic correspondence Few-shot segmentation Cost Aggregation Is All You Need for Few-Shot Segmentation For more information, check out project [Proj
A simple terminal UI for viewing fund P/L analysis through TEFAS
Tefas UI A simple terminal UI for viewing fund P/L analysis through TEFAS. Features (that my own bank's UI lack): Daily and weekly P/L FX comparisons
Navigate torrents in CLI with Mariner.
Navigate torrents in CLI with Mariner. It offers a simple interface for streamlined experience. No more annoying ads and pop-up windows.
Free and Open, Distributed, RESTful Search Engine
Elasticsearch Elasticsearch is the distributed, RESTful search and analytics engine at the heart of the Elastic Stack. You can use Elasticsearch to st
YouCompleteMe: a code-completion engine for Vim
YouCompleteMe: a code-completion engine for Vim Help, Advice, Support Looking for help, advice or support? Having problems getting YCM to work? First
Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"
Evolving Search Space for Neural Architecture Search Usage Install all required dependencies in requirements.txt and replace all ..path/..to in the co
Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"
DMT: Dynamic Mutual Training for Semi-Supervised Learning This repository contains the code for our paper DMT: Dynamic Mutual Training for Semi-Superv
[ECCV2020] Content-Consistent Matching for Domain Adaptive Semantic Segmentation
[ECCV20] Content-Consistent Matching for Domain Adaptive Semantic Segmentation This is a PyTorch implementation of CCM. News: GTA-4K list is available
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
Breaking the Curse of Space Explosion: Towards Effcient NAS with Curriculum Search Pytorch implementation for "Breaking the Curse of Space Explosion:
Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017
AdaptationSeg This is the Python reference implementation of AdaptionSeg proposed in "Curriculum Domain Adaptation for Semantic Segmentation of Urban
Tensorflow 2.x implementation of Panoramic BlitzNet for object detection and semantic segmentation on indoor panoramic images.
Deep neural network for object detection and semantic segmentation on indoor panoramic images. The implementation is based on the papers:
A unet implementation for Image semantic segmentation
Unet-pytorch a unet implementation for Image semantic segmentation 参考网上的Unet做分割的代码,做了一个针对kaggle地盐识别的,请去以下地址获取数据集: https://www.kaggle.com/c/tgs-salt-id
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery
A Semantic Segmentation Network for Urban-Scale Building Footprint Extraction Using RGB Satellite Imagery This repository is the official implementati
A script to search, scrape and scan for Apache Log4j CVE-2021-44228 affected files using Google dorks
Log4j dork scanner This is an auto script to search, scrape and scan for Apache Log4j CVE-2021-44228 affected files using Google dorks. Installation:
A basic duplicate image detection service using perceptual image hash functions and nearest neighbor search, implemented using faiss, fastapi, and imagehash
Duplicate Image Detection Getting Started Install dependencies pip install -r requirements.txt Run service python main.py Testing Test with pytest How
Lightweight utility tools for the detection of multiple spellings, meanings, and language-specific terminology in British and American English
Breame ( British English and American English) Breame is a lightweight Python package with a number of utility tools to aid in the detection of words
Get MODBUS data from Sofar (K-TLX) inverter through LSW-3 or LSE module
SOFAR Inverter + LSW-3/LSE Small utility to read data from SOFAR K-TLX inverters through the Solarman (LSW-3/LSE) datalogger. Two scripts to get inver
Pytorch implementation of SenFormer: Efficient Self-Ensemble Framework for Semantic Segmentation
SenFormer: Efficient Self-Ensemble Framework for Semantic Segmentation Efficient Self-Ensemble Framework for Semantic Segmentation by Walid Bousselham
A script helps the user to update Linux and Mac systems through the terminal
Description This script helps the user to update Linux and Mac systems through the terminal. All the user has to install some requirements and then ru
Semantic Edge Detection with Diverse Deep Supervision
Semantic Edge Detection with Diverse Deep Supervision This repository contains the code for our IJCV paper: "Semantic Edge Detection with Diverse Deep
PyTorch implementation of Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Introduction This is a PyTorch
Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet
🚀 If it helps you, click a star! ⭐ Update log 2020.12.10 Project structure adjustment, the previous code has been deleted, the adjustment will be re-
Prototype-based Incremental Few-Shot Semantic Segmentation
Prototype-based Incremental Few-Shot Semantic Segmentation Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo -- BMVC 20
People log into different sites every day to get information and browse through these sites one by one
HyperLink People log into different sites every day to get information and browse through these sites one by one. And they are exposed to advertisemen
Travel through time in your tests.
time-machine Travel through time in your tests. A quick example: import datetime as dt
Search email inbox with python and filter with search criteria via IMAP4 and fastapi or console
Search email inbox with python and filter with search criteria via IMAP4 and fastapi or console
Semantic Bottleneck Scene Generation
SB-GAN Semantic Bottleneck Scene Generation Coupling the high-fidelity generation capabilities of label-conditional image synthesis methods with the f
[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Contents Local and Global GAN Cross-View Image Translation Semantic Image Synthesis Acknowledgments Related Projects Citation Contributions Collaborat
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
SelectionGAN for Guided Image-to-Image Translation CVPR Paper | Extended Paper | Guided-I2I-Translation-Papers Citation If you use this code for your
3D HourGlass Networks for Human Pose Estimation Through Videos
3D-HourGlass-Network 3D CNN Based Hourglass Network for Human Pose Estimation (3D Human Pose) from videos. This was my summer'18 research project. Dis
Yuno is context based search engine for anime.
Yuno yuno.mp4 Table of Contents Introduction Power Of Yuno Try Yuno How Yuno was created? References Introduction Yuno is a context based search engin
DaProfiler allows you to get emails, social medias, adresses, works and more on your target using web scraping and google dorking techniques
DaProfiler allows you to get emails, social medias, adresses, works and more on your target using web scraping and google dorking techniques, based in France Only. The particularity of this program is its ability to find your target's e-mail adresses.
GoSearch for anything from your terminal
GoSearch for anything from your terminal Requirements pip install beautifulsoup4
BERT-based Financial Question Answering System
BERT-based Financial Question Answering System In this example, we use Jina, PyTorch, and Hugging Face transformers to build a production-ready BERT-b
Code for: Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification Prerequisite PyTorch = 1.2.0 Python3 torch
Official code for "Decoupling Zero-Shot Semantic Segmentation"
Decoupling Zero-Shot Semantic Segmentation This is the official code for the arxiv. ZegFormer is the first framework that decouple the zero-shot seman
[NeurIPS 2021] SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
SSUL - Official Pytorch Implementation (NeurIPS 2021) SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning Sun
A high-level yet extensible library for fast language model tuning via automatic prompt search
ruPrompts ruPrompts is a high-level yet extensible library for fast language model tuning via automatic prompt search, featuring integration with Hugg
edgetest is a tox-inspired python library that will loop through your project's dependencies, and check if your project is compatible with the latest version of each dependency
Bleeding edge dependency testing Full Documentation edgetest is a tox-inspired python library that will loop through your project's dependencies, and
Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer)
Computational modelling of ray propagation through optical elements using the principles of geometric optics (Ray Tracer) Introduction By applying the
This was initially the repo for the project of PSYC626@USC of Asaf Mazar, Millad Kassaie and Georgios Chochlakis named "Powered by the Will? Exploring Lay Theories of Behavior Change through Social Media"
Subreddit Analysis This repo includes tools for Subreddit analysis, originally developed for our class project of PSYC 626 in USC, titled "Powered by
A Python web searcher library with different search engines
Robert A simple Python web searcher library with different search engines. Install pip install roberthelper Usage from robert import GoogleSearcher
Official PyTorch implementation of SegFormer
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Figure 1: Performance of SegFormer-B0 to SegFormer-B5. Project page
Official implementation for Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting
1 SNAS4MTF This repo is the official implementation for Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting. 1.1 The frame
Search ports in multiples hosts
Search Port ✨ Multiples Searchs ✨ Create list hosts Create list targets Start Require Python 3.10.0+. python main.py Struture Function Directory load_
A program which takes an Anime name or URL and downloads the specified range of episodes.
super-anime-downloader A console application written in Python3.x (GUI will be added soon) which takes a Anime Name/URL as input and downloads the ran
Powerful unsupervised domain adaptation method for dense retrieval.
Powerful unsupervised domain adaptation method for dense retrieval
Search for terms(word / table / field name or any) under Snowflake schema names
snowflake-search-terms-in-ddl-views Search for terms(word / table / field name or any) under Snowflake schema names Version : 1.0v How to use ? Run th
YouTube Video Search Engine For Python
YouTube-Video-Search-Engine Introduction With the increasing demand for electronic devices, it is hard for people to choose the best products from mul
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation Introduction This is a PyTorch
Oregon State University grade distributions from Fall 2018 through Summer 2021
Oregon State University Grades Oregon State University grade distributions from Fall 2018 through Summer 2021 obtained through a Freedom Of Informatio
Anonfiles files leaker via keyword.
Anonfiles files leaker via keyword
Semantic graph parser based on Categorial grammars
Lambekseq "Everyone who failed Greek or Latin hates it." This package is for proving theorems in Categorial grammars (CG) and constructing semantic gr
Adaptation through prediction: multisensory active inference torque control
Adaptation through prediction: multisensory active inference torque control Submitted to IEEE Transactions on Cognitive and Developmental Systems Abst
RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.
RDFLib RDFLib is a pure Python package for working with RDF. RDFLib contains most things you need to work with RDF, including: parsers and serializers
RCT-ART is an NLP pipeline built with spaCy for converting clinical trial result sentences into tables through jointly extracting intervention, outcome and outcome measure entities and their relations.
Randomised controlled trial abstract result tabulator RCT-ART is an NLP pipeline built with spaCy for converting clinical trial result sentences into
Mask-invariant Face Recognition through Template-level Knowledge Distillation
Mask-invariant Face Recognition through Template-level Knowledge Distillation This is the official repository of "Mask-invariant Face Recognition thro
CLI Eight Puzzle mini-game featuring BFS, DFS, Greedy and A* searches as solver algorithms.
🕹 Eight Puzzle CLI Jogo do quebra-cabeças de 8 peças em linha de comando desenvolvido para a disciplina de Inteligência Artificial. Escrito em python
A part of HyRiver software stack for accessing hydrology data through web services
Package Description Status PyNHD Navigate and subset NHDPlus (MR and HR) using web services Py3DEP Access topographic data through National Map's 3DEP
PySocks lets you send traffic through SOCKS proxy servers.
PySocks lets you send traffic through SOCKS proxy servers. It is a modern fork of SocksiPy with bug fixes and extra features. Acts as a drop-i
🌲 A simple BST (Binary Search Tree) generator written in python
Tree-Traversals (BST) 🌲 A simple BST (Binary Search Tree) generator written in python Installation Use the package manager pip to install BST. Usage
The official implementation of "Rethink Dilated Convolution for Real-time Semantic Segmentation"
RegSeg The official implementation of "Rethink Dilated Convolution for Real-time Semantic Segmentation" Paper: arxiv D block Decoder Setup Install the
Search for files under the specified directory. Extract the file name and file path and import them as data.
Search for files under the specified directory. Extract the file name and file path and import them as data. Based on that, search for the file, select it and open it.
Deep Difference and search of any Python object/data.
DeepDiff v 5.6.0 DeepDiff Overview DeepDiff: Deep Difference of dictionaries, iterables, strings and other objects. It will recursively look for all t
A pytest plugin that enables you to test your code that relies on a running Elasticsearch search engine
pytest-elasticsearch What is this? This is a pytest plugin that enables you to test your code that relies on a running Elasticsearch search engine. It