Showing 15060 open source projects for "research"

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  • 1
    VISTAS (VCSEL Integrated Spatio-Temporal Advanced Simulator) is a highly efficient 2D, time-domain Vertical-Cavity Surface-Emitting Laser (VCSEL) model aimed at optimizing entire optical links.
    Downloads: 0 This Week
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  • 2
    Nerfies

    Nerfies

    This is the code for Deformable Neural Radiance Fields

    Nerfies demonstrates deformation-aware neural radiance fields that reconstruct and render dynamic, real-world scenes from casual video. Instead of assuming a static world, the method learns a canonical space plus a deformation field that maps changing poses or expressions back to that space during training. This lets the system generate photorealistic novel views of nonrigid subjects—faces, bodies, cloth—while preserving fine detail and consistent lighting. The training pipeline handles...
    Downloads: 0 This Week
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  • 3
    hebrew-gpt_neo

    hebrew-gpt_neo

    Hebrew text generation models based on EleutherAI's gpt-neo

    Hebrew text generation models based on EleutherAI's gpt-neo. Each was trained on a TPUv3-8 which was made available to me via the TPU Research Cloud Program. The Open Super-large Crawled ALMAnaCH coRpus is a huge multilingual corpus obtained by language classification and filtering of the Common Crawl corpus using the goclassy architecture.
    Downloads: 0 This Week
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  • 4
    DynaQ

    DynaQ

    Innovative text document search. http://dynaq.opendfki.de for details.

    The goal of DynaQ is to develop an inquiry system to explore the personal information space, supporting you with the searching paradigm 'orienteering'. DynaQ is a (desktop)search engine with enhanced functionality for file, email and blog search. Look at our GitLab homepage for sourcecode and documentation: http://dynaq.opendfki.de
    Downloads: 0 This Week
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  • 5
    tensorflow_template_application

    tensorflow_template_application

    TensorFlow template application for deep learning

    tensorflow_template_application is a template project that demonstrates how to structure scalable applications built with TensorFlow. The repository provides a standardized architecture that helps developers organize machine learning code into clear components such as data processing, model training, evaluation, and deployment. Instead of focusing on a specific algorithm, the project emphasizes software engineering practices that make machine learning systems easier to maintain and extend....
    Downloads: 0 This Week
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  • 6
    jiant

    jiant

    jiant is an nlp toolkit

    Jiant is a multitask NLP framework for fine-tuning transformer-based models on multiple natural language understanding (NLU) tasks.
    Downloads: 0 This Week
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  • 7
    DrQA

    DrQA

    Reading Wikipedia to Answer Open-Domain Questions

    ...The repository includes scripts to build the Wikipedia index, train the reader, and evaluate end-to-end performance. DrQA popularized a practical recipe for combining IR and neural reading, and it remains a strong baseline for open-domain QA research and production prototypes.
    Downloads: 0 This Week
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  • 8
    StatisticsTables

    StatisticsTables

    This is a Java APP for Probability and Statistics Tables

    If you have Windows or a MAC , you can setup and run Statistics Tables with very little effort. You can use jdistabs in place of paper Probability Tables to get electronic probabilities. You can also download the Java code used to create this APP. There are 2 zips. One is for a working windows APP, and the other with complete code and file structure. I used Eclipse to develop the APP. Click the link you want to download to get the Statistics Tables Windows.exe or OS X zipped files. ...
    Downloads: 0 This Week
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  • 9
    VMS Draw

    VMS Draw

    user-friendly access to the latest computational spectroscopy tools

    VMS Draw provides general utilities (e.g. normalization, conversion, and other manipulations of several spectra at the same time) and a flexible graphical user interface (GUI) for an easy use by non-specialists which allows a seamless flow of information between experimentally and theoretically oriented researchers. Finally, it permits effective interactions with other electronic structure codes [e.g., nuclear magnetic resonance (NMR), microwave] even if Gaussian 16 offers the widest set...
    Downloads: 2 This Week
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  • 10
    Hands-on Unsupervised Learning

    Hands-on Unsupervised Learning

    Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)

    This repo contains the code for the O'Reilly Media, Inc. book "Hands-on Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data" by Ankur A. Patel. Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to the holy grail in AI research, the so-called general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied; this is where unsupervised learning comes in. Unsupervised learning can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. ...
    Downloads: 1 This Week
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  • 11

    Enterprise Calendaring-Journal

    Hourly Activity While Sitting On Sensitive Workflow

    Written in Java, this fragments of code demonstrate any highly sensitive works & environment to maintain the balance of probability of work and life through mix of journaling, calendaring and cognitive work mixes. Just privileged to upload my research idea of logging executive tasks in a systematic and structured light-weight way!
    Downloads: 1 This Week
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  • 12
    course-v3

    course-v3

    The 3rd edition of course.fast.ai

    course-v3 repository contains the complete learning materials for the third edition of the Practical Deep Learning for Coders course developed by the fast.ai research group. The repository includes Jupyter notebooks, lesson materials, datasets, and supporting documentation used in the course to teach modern deep learning techniques. The course emphasizes a top-down approach to learning artificial intelligence, where students begin by building practical models and later study the underlying theory and mathematics. ...
    Downloads: 0 This Week
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  • 13
    Earth Enterprise

    Earth Enterprise

    Google Earth Enterprise - Open Source

    ...The system is composed of three main components: Fusion, which processes and integrates imagery, vector, and terrain data into unified map layers; Server, which hosts the resulting globes or maps via Apache or Tornado-based web servers; and Client, which includes the Google Earth Enterprise Client (EC) for 3D visualization and the Google Maps JavaScript API V3 for 2D viewing. Designed for enterprise, research, and government use, it allows for secure, scalable deployment of geospatial visualization systems within private infrastructure.
    Downloads: 4 This Week
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  • 14
    OpenNum

    OpenNum

    OpenNum lets you distribute solvers with a nice graphical interface

    Typically, to program a GUI is time consuming and requires experience with graphic libraries. OpenNum lets you create a graphical interface adapted to your solvers by simply editing an XML configuration file. More specifically, OpenNum lets you · to collect a hierarchical dataset, · to call any executable file and · to visualize scalar and vector fields, plot graphs or show simple plain text files. It also has other useful utilities specifically designed for numerical...
    Downloads: 0 This Week
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  • 15

    Airborne Data Testing and Evaluation

    Package for testing software used in airborne atmospheric research.

    The Airborne Data Testing and Evaluation (ADTAE) project develops open source resources to test and evaluate software used to process and analyse measurements from scientific instrument deployed on airborne platforms. Many of the resources are designed to work with the Airborne Data Processing and Analysis (ADPAA) software package (http://adpaa.sourceforge.net).
    Downloads: 0 This Week
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  • 16
    Awesome Community Detection Research

    Awesome Community Detection Research

    A curated list of community detection research papers

    A collection of community detection papers. A curated list of community detection research papers with implementations. Similar collections about graph classification, classification/regression tree, fraud detection, and gradient boosting papers with implementations.
    Downloads: 0 This Week
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  • 17
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  • 18
    Phenoscape
    The Phenoscape project attempts to formalize the description of evolutionary characters to make them interoperable and computable with the body of phenotype annotation being generated by model organism databases, and other biomedical research.
    Downloads: 0 This Week
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  • 19
    This project is a reasoner for the description logic EL+. It computes the concept subsumption hierarchy. It is an OWL 2 EL reasoner.
    Downloads: 0 This Week
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  • 20
    QccPack
    QccPack provides an open-source collection of library routines and utility programs for quantization, compression, and coding of data.
    Downloads: 0 This Week
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  • 21
    DeepSpeech

    DeepSpeech

    Open source embedded speech-to-text engine

    DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page.
    Downloads: 8 This Week
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  • 22
    Pytorch Points 3D

    Pytorch Points 3D

    Pytorch framework for doing deep learning on point clouds

    ...It heavily relies on Pytorch Geometric and Facebook Hydra library thanks for the great work! We aim to build a tool that can be used for benchmarking SOTA models, while also allowing practitioners to efficiently pursue research into point cloud analysis, with the end goal of building models which can be applied to real-life applications. Task driven implementation with dynamic model and dataset resolution from arguments. Core implementation of common components for point cloud deep learning - greatly simplifying the creation of new models. 4 Base Convolution base classes to simplify the implementation of new convolutions. ...
    Downloads: 0 This Week
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  • 23
    MIT-6.824

    MIT-6.824

    Basic Sources for MIT 6.824 Distributed Systems Class

    MIT-6.824 is a study repository containing source code and supporting material for MIT's distributed systems course. Its materials are based on the 2021 version of the class and organize resources around lectures and practical exercises. Topics include MapReduce, remote procedure calls, threads, the Google File System, primary-backup replication, and Raft consensus. The repository includes Go-based exercises such as crawler, key-value, and MapReduce labs. It also collects lecture questions...
    Downloads: 2 This Week
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  • 24
    m6811dis

    m6811dis

    M6811 Code-Seeking Disassembler

    The M6811 Code-Seeking Disassembler is a command-line tool that lets you enter known starting vectors for a given code image for the 6811 micro. It will disassemble the code and follow through branches to assist in the separation of code and data. Its companion Fuzzy Function Analyzer uses DNA Sequence Alignment Algorithms to locate similar code in multiple binaries, facilitating reverse-engineering. Originally written to analyze code from GM automotive engine controllers, but is...
    Downloads: 3 This Week
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  • 25

    LibPKI

    Easy to use PKI library

    The LibPKI Project is aimed to provide an easy-to-use PKI library for PKI enabled application development. The LibPKI Project enables developers with the possibility to implement complex cryptographic operations with a few simple function calls.
    Downloads: 0 This Week
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