Showing 5121 open source projects for "java open source"

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  • 1
    Duckling

    Duckling

    Language, engine, and tooling for testing composable language rules

    Duckling is a Haskell library developed by Facebook for parsing and normalizing natural language expressions into structured data. It supports a wide range of entities such as dates, times, durations, distances, temperatures, numbers, and currencies. Designed for use in conversational agents, chatbots, and natural language processing applications, Duckling converts fuzzy user input into a consistent and machine-readable format. It features multi-language support and is widely used in...
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  • 2
    DownloadBot

    DownloadBot

    A distributed cross-platform Telegram Bot

    A distributed cross-platform Telegram Bot that can control your Aria2 server, control server files and also upload to OneDrive / Google Drive. This project is mainly to use a small hard disk server for offline downloading, for large BitTorrent files to be downloaded in sections according to the size of the hard disk, each time downloading a part, then uploading the network disk, deleting and then downloading the other parts, until all the files are downloaded. At the same time, communication...
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  • 3
    Couler

    Couler

    Unified Interface for Constructing and Managing Workflows

    Couler is a system designed for unified machine learning workflow optimization in the cloud. Couler endeavors to provide a unified interface for constructing and optimizing workflows across various workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow. Couler enhances workflow efficiency through features like Autonomous Workflow Construction, Automatic Artifact Caching Mechanisms, Big Workflow Auto Parallelism Optimization, and Automatic Hyperparameters Tuning.
    Downloads: 0 This Week
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  • 4
    YOLO ROS

    YOLO ROS

    YOLO ROS: Real-Time Object Detection for ROS

    This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package, you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. The YOLO packages have been tested under ROS Noetic and...
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  • Atera all-in-one platform IT management software with AI agents Icon
    Atera all-in-one platform IT management software with AI agents

    Ideal for internal IT departments or managed service providers (MSPs)

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  • 5
    CapsGNN

    CapsGNN

    A PyTorch implementation of "Capsule Graph Neural Network"

    A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019). The high-quality node embeddings learned from the Graph Neural Networks (GNNs) have been applied to a wide range of node-based applications and some of them have achieved state-of-the-art (SOTA) performance. However, when applying node embeddings learned from GNNs to generate graph embeddings, the scalar node representation may not suffice to preserve the node/graph properties efficiently, resulting in sub-optimal graph...
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  • 6
    aiode

    aiode

    Discord bot that plays Spotify tracks and YouTube videos or any URL

    Discord bot that plays Spotify tracks and YouTube videos or any URL including Soundcloud links and Twitch streams. Play and search Spotify tracks and YouTube videos or playlists or play any URL including Soundcloud links and Twitch streams. Create cross-platform playlists with tracks from any source. Simple and customizable player commands. Create custom command presets as shortcuts for your most used commands. Adjustable properties for even deeper customization. Sign in to Spotify to play...
    Downloads: 7 This Week
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  • 7
    Denoiser

    Denoiser

    Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)

    Denoiser is a real-time speech enhancement model operating directly on raw waveforms, designed to clean noisy audio while running efficiently on CPU. It uses a causal encoder-decoder architecture with skip connections, optimized with losses defined both in the time domain and frequency domain to better suppress noise while preserving speech. Unlike models that operate on spectrograms alone, this design enables lower latency and coherent waveform output. The implementation includes data...
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  • 8
    MLOps Course

    MLOps Course

    Learn how to design, develop, deploy and iterate on ML apps

    The MLOps Course by Goku Mohandas is an open-source curriculum that teaches how to combine machine learning with solid software engineering to build production-grade ML applications. It is structured around the full lifecycle: data pipelines, modeling, experiment tracking, deployment, testing, monitoring, and iteration. The repository itself contains configuration, code examples, and links to accompanying lessons hosted on the Made With ML site, which provide detailed narrative explanations and diagrams. ...
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  • 9
    XLM (Cross-lingual Language Model)

    XLM (Cross-lingual Language Model)

    PyTorch original implementation of Cross-lingual Language Model

    XLM (Cross-lingual Language Model) is a family of multilingual pretraining methods that align representations across languages to enable strong zero-shot transfer. It popularized objectives like Masked Language Modeling (MLM) across many languages and Translation Language Modeling (TLM) that jointly trains on parallel sentence pairs to tighten cross-lingual alignment. Using a shared subword vocabulary, XLM learns language-agnostic features that work well for classification and sequence...
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  • Total Network Visibility for Network Engineers and IT Managers Icon
    Total Network Visibility for Network Engineers and IT Managers

    Network monitoring and troubleshooting is hard. TotalView makes it easy.

    This means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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  • 10
    CRSLab

    CRSLab

    CRSLab is an open-source toolkit

    CRSLab is an open-source toolkit for building Conversational Recommender System (CRS). It is developed based on Python and PyTorch. CRSLab has the following highlights. Comprehensive benchmark models and datasets: We have integrated commonly-used 6 datasets and 18 models, including graph neural network and pre-training models such as R-GCN, BERT and GPT-2.
    Downloads: 0 This Week
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  • 11
    DensePose

    DensePose

    A real-time approach for mapping all human pixels of 2D RGB images

    DensePose is a computer vision system that maps all human pixels in an RGB image to the 3D surface of a human body model. It extends human pose estimation from predicting joint keypoints to providing dense correspondences between 2D images and a canonical 3D mesh (such as the SMPL model). This enables detailed understanding of human shape, motion, and surface appearance directly from images or videos. The repository includes the DensePose network architecture, training code, pretrained...
    Downloads: 1 This Week
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  • 12
    Text Gen

    Text Gen

    Almost state of art text generation library

    Almost state of art text generation library. Text gen is a python library that allow you build a custom text generation model with ease. Something sweet built with Tensorflow and Pytorch(coming soon). Load your data, your data must be in a text format. Download the example data from the example folder. Tune your model to know the best optimizer, activation method to use.
    Downloads: 0 This Week
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  • 13
    Lucid

    Lucid

    A collection of infrastructure and tools for research

    Lucid is a collection of infrastructure and tools for research in neural network interpretability. Lucid is research code, not production code. We provide no guarantee it will work for your use case. Lucid is maintained by volunteers who are unable to provide significant technical support. Start visualizing neural networks with no setup. The following notebooks run right from your browser, thanks to Collaboratory. It's a Jupyter notebook environment that requires no setup to use and runs...
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  • 14
    Multi-Agent path planning in Python

    Multi-Agent path planning in Python

    Python implementation of a bunch of multi-robot path-planning

    multi_agent_path_planning is a Python-based implementation of multi-agent pathfinding algorithms for coordinating multiple agents in shared environments without collisions. It is useful in robotics, warehouse automation, and gaming AI.
    Downloads: 0 This Week
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  • 15
    Semantic Segmentation in PyTorch

    Semantic Segmentation in PyTorch

    Semantic segmentation models, datasets & losses implemented in PyTorch

    Semantic segmentation models, datasets and losses implemented in PyTorch. PyTorch and Torchvision needs to be installed before running the scripts, together with PIL and opencv for data-preprocessing and tqdm for showing the training progress. PyTorch v1.1 is supported (using the new supported tensoboard); can work with earlier versions, but instead of using tensoboard, use tensoboardX. Poly learning rate, where the learning rate is scaled down linearly from the starting value down to zero...
    Downloads: 0 This Week
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  • 16
    gym-pybullet-drones

    gym-pybullet-drones

    PyBullet Gymnasium environments for multi-agent reinforcement

    Gym-PyBullet-Drones is an open-source Gym-compatible environment for training and evaluating reinforcement learning agents on drone control and swarm robotics tasks. It leverages the PyBullet physics engine to simulate quadrotors and provides a platform for studying control, navigation, and coordination of single and multiple drones in 3D space.
    Downloads: 1 This Week
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  • 17
    Keepsake

    Keepsake

    Version control for machine learning

    Keepsake is a Python library that uploads files and metadata (like hyperparameters) to Amazon S3 or Google Cloud Storage. You can get the data back out using the command-line interface or a notebook.
    Downloads: 0 This Week
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  • 18
    XZVoice

    XZVoice

    Free and open source text-to-speech software

    Text-to-speech software developed by Electron + vue + ElementUI + js. The high-fidelity and flexible configuration of speech synthesis products opens up the closed loop of human-computer interaction and enables applications to sound realistically. A variety of timbres are available, and functions such as adjusting speech rate, intonation, and volume are provided. Technically, multi-level rhythmic pauses are taken into account to achieve the purpose of natural synthesizing rhythm, and...
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  • 19
    Gluon CV Toolkit

    Gluon CV Toolkit

    Gluon CV Toolkit

    GluonCV provides implementations of state-of-the-art (SOTA) deep learning algorithms in computer vision. It aims to help engineers, researchers, and students quickly prototype products, validate new ideas and learn computer vision. It features training scripts that reproduce SOTA results reported in latest papers, a large set of pre-trained models, carefully designed APIs and easy-to-understand implementations and community support. From fundamental image classification, object detection,...
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  • 20
    Tahafacex

    Tahafacex

    It works as electronic book for keeping attendance records...

    It works as electronic book for keeping attendance records using face identification\recognition technology it can mark attendance upto 100 person it can be used anywhere. MINOR CHANGE: Functionality improved MAJOR CHANGE: 1. Backup and Restore (For 1.1.0 and future versions only) 2. Export your attendance sheets in excel format of each class
    Downloads: 0 This Week
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  • 21
    Universal Data Tool

    Universal Data Tool

    Collaborate & label any type of data, images, text, or documents etc.

    An open-source tool and library for creating and labeling datasets of images, audio, text, documents and video in an open data format. The Universal Data Tool can be used by anyone on your team, no data or programming skills needed. Simplicity without sacrificing any powerful developer features and integrations. Use the Universal Data Tool directly from a web browser or with a Windows, Mac or Linux desktop application.
    Downloads: 0 This Week
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  • 22
    MX Terminal

    MX Terminal

    A chat style app for the M32, X32, M-Air, X-Air digital consoles

    MX Terminal is a simple chat style app that can control the Midas and Behringer digital consoles including the M32, X32, M-Air and X-Air. Built on the popular Live Toolbox OSC engine, the text based interface provides the user full OSC,tidbit and the new English commands sets. Responses from the console can be returned in real world values (db, hz, etc.) instead of OSC values.And text to speech (TTS) is available for these responses for the visually impaired.
    Downloads: 1 This Week
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  • 23
    BNFGen

    BNFGen

    Generates random text based on context-free grammars defined in BNF

    BNFGen generates random text based on context-free grammar. You give it a file with your grammar, defined using BNF-like syntax, it gives you a string that follows that grammar. BNFGen is a CLI tool, an OCaml library. There are also official JS bindings available via NPM. Project goals are to make it easy to write and share grammar and give the user total control of and insight into the generation process. BNFGen provides a "DSL" for grammar definitions. It's a familiar BNF-like syntax with...
    Downloads: 0 This Week
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  • 24
    Sulla

    Sulla

    Javascript Whatsapp API library for chatbots

    Sulla is a javascript library that provides a high-level API control to Whatsapp so it can be configured to automatize responses or any data that goes through Whatsapp effortlessly. As of version 2.3.5 it seems that sulla has reached a very rich and stable functionality and architecture. As much as I would love to, I cannot dedicate a lot of time to this project so please consider checking out forked versions of sulla where other developers can dedicate more time and support to it. After...
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  • 25
    Keras TCN

    Keras TCN

    Keras Temporal Convolutional Network

    TCNs exhibit longer memory than recurrent architectures with the same capacity. Performs better than LSTM/GRU on a vast range of tasks (Seq. MNIST, Adding Problem, Copy Memory, Word-level PTB...). Parallelism (convolutional layers), flexible receptive field size (possible to specify how far the model can see), stable gradients (backpropagation through time, vanishing gradients). The usual way is to import the TCN layer and use it inside a Keras model. The receptive field is defined as the...
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