Search Results for "image search algorithm" - Page 4
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Showing 111 open source projects for "image search algorithm"
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DeepCluster
Deep Clustering for Unsupervised Learning of Visual Features
DeepCluster is a classic self-supervised clustering-based representation learning algorithm that iteratively groups image features and uses the cluster assignments as pseudo-labels to train the network. In each round, features produced by the network are clustered (e.g. k-means), and the cluster IDs become supervision targets in the next epoch, encouraging the model to refine its representation to better separate semantic groups. -
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HyperGAN
Composable GAN framework with api and user interface
A composable GAN built for developers, researchers, and artists. HyperGAN builds generative adversarial networks in PyTorch and makes them easy to train and share. HyperGAN is currently in pre-release and open beta. Everyone will have different goals when using hypergan. HyperGAN is currently beta. We are still searching for a default cross-data-set configuration. Each of the examples supports search. Automated search can help find good configurations. If you are unsure, you can start with... -
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Consistent Depth
We estimate dense, flicker-free, geometrically consistent depth
Consistent Depth is a research project developed by Facebook Research that presents an algorithm for reconstructing dense and geometrically consistent depth information for all pixels in a monocular video. The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. ... -
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GoogleScraper
Python tool for scraping search engine results from many providers
GoogleScraper is a Python-based tool designed to automatically collect and process search engine results from multiple providers. It enables developers and researchers to programmatically query search engines and extract useful information such as links, titles, and result descriptions. GoogleScraper supports several major search engines and can be used to gather structured datasets from search result pages for further analysis. It provides two different scraping approaches: sending direct... -
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VGGFace2
VGGFace2 Dataset for Face Recognition
VGGFace2 is a large-scale face recognition dataset developed to support research on facial recognition across variations in pose, age, illumination, and identity. It consists of 3.31 million images covering 9,131 subjects, with an average of over 360 images per subject. The dataset was collected from Google Image Search, ensuring a wide diversity in ethnicity, profession, and real-world conditions. It is split into a training set with 8,631 identities and a test set with 500 identities, making it suitable for benchmarking and large-scale model training. Alongside the dataset, the repository provides pre-trained models based on ResNet-50 and SE-ResNet-50 architectures, trained with both MS-Celeb-1M pretraining and fine-tuning on VGGFace2. ... -
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jieba
Stuttering Chinese word segmentation
"Jaba" Chinese word segmentation, do the best Python Chinese word segmentation component. Four word segmentation modes are supported. Precise mode, which tries to cut the sentence most precisely, suitable for text analysis. Full mode, scans all the words that can be formed into words in the sentence, the speed is very fast, but the ambiguity cannot be resolved. The search engine mode, on the basis of the precise mode, divides the long words again to improve the recall rate, which is suitable... -
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Fav-up
Look up IP addresses using favicon hashes via Shodan
fav-up is an open source reconnaissance utility designed to identify servers and websites by analyzing favicon hashes and querying the Shodan search engine. It calculates the hash of a favicon image and then uses that value to search Shodan for other hosts that use the same icon. This technique is commonly used in security research and OSINT investigations to discover related infrastructure or services that may belong to the same organization. fav-up can retrieve favicon data from several sources, including local files, direct favicon URLs, or full web pages where the favicon is automatically extracted. fav-up then computes the favicon hash and performs Shodan queries to locate IP addresses that match the same hash. ... -
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CCZero (中国象棋Zero)
Implement AlphaZero/AlphaGo Zero methods on Chinese chess
ChineseChess-AlphaZero is a project that implements the AlphaZero algorithm for the game of Chinese Chess (Xiangqi). It adapts DeepMind’s AlphaZero method—combining neural networks and Monte Carlo Tree Search (MCTS)—to learn and play Chinese Chess without prior human data. The system includes self-play, training, and evaluation pipelines tailored to Xiangqi's unique game mechanics. -
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easy12306
Automatic recognition of 12306 verification code
Automatic recognition of 12306 verification code using machine learning algorithm. Identify never-before-seen pictures. -
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pyfolio
Portfolio and risk analytics in Python
...It works well with the Zipline open source backtesting library. At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm. Here's an example of a simple tear sheet analyzing a strategy. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more. -
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Dynamic Routing Between Capsules
A PyTorch implementation of the NIPS 2017 paper
Dynamic Routing Between Capsules is a PyTorch implementation of the Capsule Network architecture originally proposed to address limitations in traditional convolutional neural networks. Capsule networks aim to improve how neural models represent spatial hierarchies and relationships between objects within images. Instead of scalar neuron activations, capsules output vectors that encode both the presence of features and their spatial properties such as orientation or pose. The repository... -
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Data Algorithm/leetcode/lintcode
Data Structure and Algorithm notes
This work is some notes of learning and practicing data structures and algorithms. Part I is a brief introduction of basic data structures and algorithms, such as, linked lists, stack, queues, trees, sorting and etc. This book notes about learning data structure and algorithms. It was written in Simplified Chinese but other languages such as English and Traditional Chinese are also working in progress. -
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Siamese and triplet learning
Siamese and triplet networks with online triplet mining in PyTorch
...These types of networks learn to map images into a compact feature space where the distance between vectors reflects the similarity between inputs. Such embeddings are commonly used in applications like face recognition, image similarity search, and few-shot learning. The repository demonstrates how to train these models using contrastive loss and triplet loss functions, which encourage embeddings of similar samples to be close while pushing dissimilar samples farther apart. It includes data loaders, training scripts, neural network architectures, and evaluation metrics that allow researchers to experiment with different embedding learning strategies. ... -
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Solid Python
A comprehensive gradient-free optimization framework written in Python
Solid is a Python framework for gradient-free optimization. It contains basic versions of many of the most common optimization algorithms that do not require the calculation of gradients, and allows for very rapid development using them. -
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Inferact
File-tagging tool coded in Python.
Tag, search (e.g., by similarity), manage data collections of your choosing. Currently optimized for music and image data. Uses sha1 hashes for identification. Please use additional programs such as: IrfanView (http://www.irfanview.com) and MPC (https://mpc-hc.org) for media handling and a console with unicode support, like ConEmu (https://conemu.github.io). -
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lxnstack
A program to align and stack astronomical images.
...) * Two automatic align method: align-points; phase correlation, * One manual align method. * sub-pixel precision (0.1 pixel for phase correlation and 0.01 pixel for manual alignment). * Automatic image derotation. * FITS file support (by installing the python2 package 'astropy') * Hot pixels suppression algorithm * CR2 files native support * Can load/save video * Grayscale RAW image support * Editing of result image's levels. * Light curve generation -
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ImpraStorage
ImpraStorage provided a private imap access to store large files
...Each part also contains random noise data (lenght depends on a crypt key) to ensure privacy and exclude easy merge without the corresponding key. An index of files stored is encrypt (with the symmetric-key algorithm Kirmah) and regularly updated. Once decrypt, it permit to perform search on the server and download each part. transfert process is transparent. Just vizualize locally the index of stored files and simply select files to download or upload. ImpraStorage automatically launch the parts to download, then merge parts in the appropriate way to rebuild the original file. ... -
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BRss is Python offline Rss client. It is composed of: - a background service that publishes methods through DBus - a GTK frontend, with Thunderbird-like keyboard navigation
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PyGAO
Genetic Algorithm Optimization for Python
A simple interface for performing genetic algorithm optimization for numerical problems. I am starting with a stripped-down version, where a solution can be described using a single vector of float numbers. Eventually, I will expand to more generic data structures and add multiple-species search options. For the time being, I have no plans of developing a GUI. For now, this is strictly a computational module. -
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Search Engine in python
All student and developers are invited to join this web search engine
This search engine project is created by a computer science student to challenge how search results are returned. Importance is placed on how web pages are ranked by a quick and efficient algorithm. All hands on deck is how we are calling this project. Algorithm design is really important and creative methods from better search results or web crawling is welcomed from all amateur programmers, students, web developers, software developers and computer science students from around the globe. ... -
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im2ascii
Image to ASCII converter that takes character shape into account
im2ascii is a small python script that converts images to ascii-art. Unlike common ascii-art generators, it does not only use each character's mean brightness, but matches the full character shape. Pro: Better ascii-art quality (see screenshots for examples) Con: Matching is very resource intensive Dependencies: Python 2.7, PIL, numpy, scipy -
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Desktop free-form text database in which each record may contain an arbitrary collection of fields. Each field and record has its own style and colour. Efficient text searching - text is indexed as it is entered. Inspired by Blackwell Idealist.
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Fleuron
Silent flash drive copier
Fleuron is a silent flash drive copier. When a flash drive is connected, Fleuron automatically starts copying the data with a Breadth First Search algorithm. In this way, the root directories are copied first and as time passes, deeper directories are copied. Fleuron also randomly stops for random amounts of seconds to allow the drive to be safely removed and to avoid detection. Fleuron can be used for data backup, flash synchronization and undetectable data copying. Note: Currently Fleuron only works on Linux systems. -
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imbatcher is an image batcher and rfl Registax Frame List creator that use an Mean Square Difference algorithm to separate images from the same set automatically .
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DWIP is short for Disk Wiping and Imaging Tool. This tool is being built for Mississippi State Universities National Forensics Training Center for use on a live cd to give out to it's students.