Showing 2867 open source projects for "research"

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  • 1
    Improved GAN

    Improved GAN

    Code for the paper "Improved Techniques for Training GANs"

    ...By offering structured experiments across multiple datasets, it allows researchers to study and replicate the improvements described in the paper. Although the project is archived and not actively maintained, it remains a reference point in the history of GAN research, influencing subsequent model training approaches.
    Downloads: 0 This Week
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  • 2

    GCB_package

    Stand-alone version of the Genome Complexity Browser

    This application allows observing genome rearrangements in prokaryotic genomes. It provides rearrangements frequencies profiles and genomes graph representation.
    Downloads: 0 This Week
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  • 3
    VividSTORM

    VividSTORM

    Correlated confocal and SMLM data visualization and analysis

    VividSTORM is a free and open-source standalone software with graphical user interface, for the correlated visualization and analysis of superresolution single molecule localization microscopy (SMLM) molecule lists and conventional pixel intensity-based images. The localization points (LPs) within this ROI can be analyzed using the selected built-in functions. NOTE: If you encounter issues not addressed by the user guide, please contact by message on this site or via e-mail for...
    Downloads: 0 This Week
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  • 4
    Virtual Laboratory Environment

    Virtual Laboratory Environment

    A multi-modeling and simulation environment to study complex systems

    VLE is a multi-modeling and simulation environment to study complex dynamic systems. VLE is based on the discrete event specification DEVS. and it implements the DSDE formalism (A merge of Dynamic Structure DEVS, DSDEVS, with Parallel DEVS, PDEVS). VLE provides a complete set of C++ libraries, called VFL (VLE Foundation Libraries), to develop DEVS models, to gets results of simulations, to launch simulation on cluster. The models can be developed with the DEVS formalism or with the classical...
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    Downloads: 8 This Week
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    e-Species

    e-Species

    A taxonomically intelligent biodiversity search engine

    This is a pure Python CGI-based implementation of a taxonomically intelligent species search engine. It searches biological databases for a taxonomic name. The search is done "on the fly" using web services (SOAP/XML) or URL API's.
    Downloads: 0 This Week
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  • 6
    Evolution Strategies Starter

    Evolution Strategies Starter

    Code for the paper "Evolution Strategies.."

    evolution-strategies-starter is an archived OpenAI research project that provides a distributed implementation of the algorithm described in the paper “Evolution Strategies as a Scalable Alternative to Reinforcement Learning” by Tim Salimans, Jonathan Ho, Xi Chen, and Ilya Sutskever. The repository demonstrates how to scale Evolution Strategies (ES) for reinforcement learning tasks using a master-worker architecture, where the master node broadcasts parameters to multiple workers, and the workers return performance results after evaluation. ...
    Downloads: 0 This Week
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  • 7
    LUMINOTH

    LUMINOTH

    Deep Learning toolkit for Computer Vision

    ...Luminoth includes support for popular object detection architectures such as Faster R-CNN and SSD, enabling developers to train models on datasets like COCO and Pascal VOC. The toolkit provides command-line utilities for dataset management, training, and inference, making it easier to integrate into research workflows and production systems. Although the project is no longer actively maintained, it remains a useful educational and experimental platform for studying object detection pipelines and deep learning workflows.
    Downloads: 10 This Week
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  • 8
    Dynamic Routing Between Capsules

    Dynamic Routing Between Capsules

    A PyTorch implementation of the NIPS 2017 paper

    ...The repository implements the dynamic routing algorithm between capsules, which allows lower-level features to route their outputs to higher-level structures that best represent the detected patterns. This approach enables the model to capture part-to-whole relationships in visual data more effectively than standard CNNs. The project serves primarily as a research implementation that demonstrates how capsule networks can be built and trained using modern deep learning frameworks.
    Downloads: 0 This Week
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  • 9
    Lihang

    Lihang

    Statistical learning methods (2nd edition) [Li Hang]

    ...In addition to code examples, the project contains supplementary materials such as formula references, glossaries of technical terms, and documentation explaining mathematical notation used throughout the algorithms. The repository also provides links to related research papers and references that expand on the theoretical background presented in the book.
    Downloads: 0 This Week
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  • 10
    SG2Im

    SG2Im

    Code for "Image Generation from Scene Graphs", Johnson et al, CVPR 201

    sg2im is a research codebase that learns to synthesize images from scene graphs—structured descriptions of objects and their relationships. Instead of conditioning on free-form text alone, it leverages graph structure to control layout and interactions, generating scenes that respect constraints like “person left of dog” or “cup on table.” The pipeline typically predicts object layouts (bounding boxes and masks) from the graph, then renders a realistic image conditioned on those layouts. ...
    Downloads: 0 This Week
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  • 11
    SFD

    SFD

    S³FD: Single Shot Scale-invariant Face Detector, ICCV, 2017

    ...Developed by Shifeng Zhang, S³FD introduces a scale-compensation anchor matching strategy and enhanced detection architecture that makes it especially effective for detecting small faces—a long-standing challenge in face detection research. The project builds upon the SSD framework in Caffe, with modifications tailored for face detection tasks. It includes training scripts, evaluation code, and pre-trained models that achieve strong results on popular benchmarks such as AFW, PASCAL Face, FDDB, and WIDER FACE. The framework is optimized for speed and accuracy, making it suitable for both academic research and practical applications in computer vision.
    Downloads: 0 This Week
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  • 12
    The GAN Zoo

    The GAN Zoo

    A list of all named GANs

    The GAN Zoo is an open-source repository that compiles a comprehensive list of Generative Adversarial Network models published in research literature. The project began as a community effort to track the rapidly growing number of GAN architectures appearing in machine learning papers. Because new GAN models are frequently introduced in research publications, the repository serves as a convenient catalog that organizes them in one location. The list includes references to many GAN variants along with links to their original research papers and sometimes implementation code. ...
    Downloads: 2 This Week
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  • 13
    Personal Document Seeker

    Personal Document Seeker

    Full text document research tool.

    Personal document seeker is a simple useful tool to search into your document by full text. This program is based on the Whoosh library for Python.
    Downloads: 0 This Week
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  • 14
    DACO-algorithm

    DACO-algorithm

    A novel transcription factor complex prediction algorithm.

    Eukaryotic gene expression is controlled through molecular logic circuits that combine regulatory signals of many different factors. Complexation of transcription factors and other regulatory proteins is a prevailing and highly conserved mechanism of signal integration within critical regulatory pathways and enable to infer controlled genes as well as the exerted regulatory mechanism. We developed DACO (domain-aware cohesiveness optimization), a novel algorithm that combines...
    Downloads: 0 This Week
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  • 15
    Mixup-CIFAR10

    Mixup-CIFAR10

    mixup: Beyond Empirical Risk Minimization

    mixup-cifar10 is the official PyTorch implementation of “mixup: Beyond Empirical Risk Minimization” (Zhang et al., ICLR 2018), a foundational paper introducing mixup, a simple yet powerful data augmentation technique for training deep neural networks. The core idea of mixup is to generate synthetic training examples by taking convex combinations of pairs of input samples and their labels. By interpolating both data and labels, the model learns smoother decision boundaries and becomes more...
    Downloads: 0 This Week
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  • 16

    Polluted gases Estimator

    Create, estimate and analyses gas pollutants and the possible costs

    The SPS machines are not designed to filter the particulates to be of acceptable size, level or concentration, unlike Wet Scrubbers, Electrostatic Precipitators, Diesel Particulate Filter DPF etc. The reality is that finest and ultra-finest Particulates tends to behave like gas rather than a gas-solids mixture or simply can be transported by vapour. Is the reason why many filtering technologies are ineffective. However, SPS technology is post-combustion system or last stage of...
    Downloads: 0 This Week
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  • 17
    TunesViewer

    TunesViewer

    Easy podcast access in Linux, Android

    A small, easy-to-use program to access itunesU media & podcasts in Linux and Android.
    Downloads: 1 This Week
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  • 18

    ESP8266_Flespi_yum

    ESP8266 (ESP-01) + Serial Commands + Flespi Broker

    ESP-01, the simplest USD 1.50.- ESP8266 gets a firmware that allows the user to control it by serial port. Therefore it can be used along with any terminal, computer or microcontroller, which is equipped with a serial port (or USB port) -) Connect / disconnect to WiFi and Flespi MQTT broker -) Publish messages -) Subscribe to topics / Unsubscribe from topics -) Read the messages received Furthermore a GUI is on developing process to demonstrate the use. Paypal donations are...
    Downloads: 0 This Week
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  • 19

    AESOP-ACP

    A simulation framework for production process modeling in Python

    ACP is a simulation framework aimed to production processes modeling. Compared to its ancestor - jES - it is lightweight, more general and written in Python. The basic goal of the simulator is to find bottlenecks in production process which could be hard to detect with traditional approaches (e.g., top-down). In addition, it can be used to speculate about “what-if” scenarios in order to suggest solution strategies.
    Downloads: 0 This Week
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  • 20
    Generative Models

    Generative Models

    Collection of generative models, e.g. GAN, VAE in Pytorch

    ...The repository serves as an educational and experimental environment where users can study how generative models work internally and replicate results from academic research papers.
    Downloads: 2 This Week
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  • 21
    PyTom

    PyTom

    http://www.sciencedirect.com/science/article/pii/S1047847711003492

    PyTom is a toolbox developed for interpreting cryo electron tomography data. All steps from reconstruction, localization, alignment and classification are covered with standard and improved methods. Please sign up to our mailing list to keep up with the most recent updates and versions.
    Downloads: 0 This Week
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  • 22
    Exposure

    Exposure

    Learning infinite-resolution image processing with GAN and RL

    ...Moreover, jpg and most pngs assume an sRGB color space, which contains a roughly 1/2.2 Gamma correction, making the data distribution different from training images (which are linear). Exposure is just a prototype (proof-of-concept) of our latest research, and there are definitely a lot of engineering efforts required to make it suitable for a real product.
    Downloads: 0 This Week
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  • 23
    WebSrapper

    WebSrapper

    Webscraping with UI

    Hello , i have made this simple web scrapping tool so that one can have fun web scrapping with with ease .
    Downloads: 1 This Week
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  • 24

    YFitter

    Fitting Y chromosome haplogroups by maximum likelihood

    Yfitter is a program for assigning Y chromosome haplogroups to individuals sequenced at low coverage. It is designed to be used in a samtools/bcftools pipeline. Yfitter also supports haplogrouping using chip genotype data.
    Downloads: 0 This Week
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  • 25
    LearningToCompare_FSL

    LearningToCompare_FSL

    Learning to Compare: Relation Network for Few-Shot Learning

    ...The repository provides training and evaluation code for standard few-shot benchmarks such as miniImageNet and Omniglot, making it possible to reproduce the experimental results reported in the paper. It includes model definitions, data loading logic, episodic training loops, and scripts that implement the N-way K-shot evaluation protocol common in few-shot research. Researchers can use this codebase as a starting point to test new ideas, modify relation modules, or transfer the approach to new datasets.
    Downloads: 0 This Week
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