Search Results for "intelligence" - Page 4
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Showing 213 open source projects for "intelligence"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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This project aims to promote the MultiAgent Programming (MAP) approach by providing a suitable integration of tools and languages for programming the following dimensions: agents (Jason), environment (Cartago), and organisation (Moise).
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MACE
Deep learning inference framework optimized for mobile platforms
Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations. The initialization is also optimized to be faster. Chip-dependent power options like big.LITTLE scheduling, Adreno GPU hints are included as advanced APIs. UI responsiveness guarantee is sometimes... -
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Bottender
A framework for building conversational user interfaces
Bottender takes care of the complexity of conversational UIs for you. Design actions for each event and state in your application and Bottender will run accordingly. Bottender lets you create apps on every channel and never compromise on your users’ experience. This approach makes your code more predictable and easier to debug. You can apply progressive enhancement or graceful degradation strategy on your building blocks. There are thousands of bots powered by Bottender. It has been... -
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TorchGAN
Research Framework for easy and efficient training of GANs
The torchgan package consists of various generative adversarial networks and utilities that have been found useful in training them. This package provides an easy-to-use API which can be used to train popular GANs as well as develop newer variants. The core idea behind this project is to facilitate easy and rapid generative adversarial model research. TorchGAN is a Pytorch-based framework for designing and developing Generative Adversarial Networks. This framework has been designed to... -
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Messaging APIs
Messaging APIs for multi-platform
Messaging APIs is a mono repo that collects APIs needed for bot development. It helps you build your bots using a similar API for multiple platforms, e.g. Messenger, LINE. Learn once and make writing cross-platform bots easier. If you are looking for a framework to build your bots, Bottender may suit for your needs. It is built on top of Messaging APIs and provides some powerful features for bot building. -
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ReconSpider
Most Advanced Open Source Intelligence (OSINT) Framework
ReconSpider is most Advanced Open Source Intelligence (OSINT) Framework for scanning IP Addresses, Emails, Websites, and Organizations and find out information from different sources. ReconSpider can be used by Infosec Researchers, Penetration Testers, Bug Hunters, and Cyber Crime Investigators to find deep information about their target. ReconSpider aggregate all the raw data, visualize it on a dashboard, and facilitate alerting and monitoring on the data. -
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rax
A progressive React framework for building universal application
...The out-of-the-box engineering, rich components and surrounding ecology, and one-time development and multi-end delivery help the developer complete his creativity. At the same time, we are also continuing to explore in the field of artificial intelligence, and continue to reduce development thresholds and costs. -
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Microsoft Bot Framework SDK
Tool for building conversation applications
Bot Framework provides the most comprehensive experience for building conversation applications. With the Bot Framework SDK, developers can build bots that converse free-form or with guided interactions including using simple text or rich cards that contain text, images, and action buttons. Developers can model and build sophisticated conversation using their favorite programming languages including C#, JS, Python and Java or using Bot Framework Composer, an open-source, visual authoring... -
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EH Forwarder Bot
An extensible message tunneling chat bot framework
Codename EH Forwarder Bot (EFB) is an extensible message tunneling chat bot framework that delivers messages to and from multiple platforms and remotely controls your accounts. Since the majority of our channels are using polling for message retrieval, a stable internet connection is necessary for channels to run smoothly. An unstable connection may lead to slow response, or loss of messages. EFB uses a *nix user configuration style, which is described in details in Directories. In short, if... -
Your monitoring isn't a stack. It's a pile. Fix that.Replace Datadog, New Relic, and Sentry without adding three more dashboards.
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TNN
Uniform deep learning inference framework for mobile
TNN, a high-performance, lightweight neural network inference framework open sourced by Tencent Youtu Lab. It also has many outstanding advantages such as cross-platform, high performance, model compression, and code tailoring. The TNN framework further strengthens the support and performance optimization of mobile devices on the basis of the original Rapidnet and ncnn frameworks. At the same time, it refers to the high performance and good scalability characteristics of the industry's... -
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Pytorch Points 3D
Pytorch framework for doing deep learning on point clouds
Torch Points 3D is a framework for developing and testing common deep learning models to solve tasks related to unstructured 3D spatial data i.e. Point Clouds. The framework currently integrates some of the best-published architectures and it integrates the most common public datasets for ease of reproducibility. 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... -
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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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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
For quite some time now, we know about the benefits of transfer learning in Computer Vision (CV) applications. Nowadays, pre-trained Deep Convolution Neural Networks (DCNNs) are the first go-to pre-solutions to learn a new task. These large models are trained on huge supervised corpora, like the ImageNet. And most important, their features are known to adapt well to new problems. This is particularly interesting when annotated training data is scarce. In situations like this, we take the... -
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Sudomy
Sudomy is a subdomain enumeration tool to collect subdomains
Sudomy is a subdomain enumeration tool to collect subdomains and analyze domains performing advanced automated reconnaissance (framework). This tool can also be used for OSINT (Open-source intelligence) activities. Easy, light, fast and powerful. Bash script (controller) is available by default in almost all Linux distributions. By using bash script multiprocessing feature, all processors will be utilized optimally. Subdomain enumeration process can be achieved by using active method or passive method. Sudomy utilize Gobuster tools because of its highspeed performance in carrying out DNS Subdomain Bruteforce attack (wildcard support). ... -
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BotMan
A framework agnostic PHP library to build chat bots
Write your chatbot logic once and connect it to one of the available messaging services, including Amazon Alexa, Facebook Messenger, Slack, Telegram or even your own Website. BotMan is framework agnostic, which means you can use it in your existing codebase, whatever framework you might use. Starting a new chatbot project? BotMan Studio is a Laravel 5.5 boiler project to get you started in no time! BotMan is all about having an expressive, yet powerful syntax that allows you to focus on the... -
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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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TeleBot
The easy way to write Telegram bots in Node.js
The easy way to write Telegram bots in Node.js. Events include keyboard, button, inlineKeyboard, inlineQueryKeyboard, inlineButton, answerList, getMe, sendMessage, deleteMessage, forwardMessage, sendPhoto, sendAudio, sendDocument, sendSticker, sendVideo, sendVideoNote, sendVoice, sendLocation, sendVenue, sendContact, sendChatAction, getUserProfilePhotos, getFile, kickChatMember, unbanChatMember, answerInlineQuery, answerCallbackQuery, answerShippingQuery, answerPreCheckoutQuery,... -
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PyText
A natural language modeling framework based on PyTorch
PyText is a deep-learning based NLP modeling framework built on PyTorch. PyText addresses the often-conflicting requirements of enabling rapid experimentation and of serving models at scale. It achieves this by providing simple and extensible interfaces and abstractions for model components, and by using PyTorch’s capabilities of exporting models for inference via the optimized Caffe2 execution engine. We use PyText at Facebook to iterate quickly on new modeling ideas and then seamlessly... -
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TensorFlow Object Counting API
The TensorFlow Object Counting API is an open source framework
The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the... -
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Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.
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MMF
A modular framework for vision & language multimodal research
MMF is a modular framework for vision and language multimodal research from Facebook AI Research. MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI Research. MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. MMF is built on top of PyTorch that... -
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X-DeepLearning
An industrial deep learning framework for high-dimension sparse data
X-DeepLearning (XDL for short) is a complete set of deep optimization solutions for high-dimensional sparse data scenarios (such as advertising/recommendation/search, etc.). XDL version 1.2 has been released recently. Performance optimization for large batch/low concurrency scenarios, 50-100% performance improvement in such scenarios. Storage and communication optimization, parameters are automatically allocated globally without manual intervention, and requests are merged to completely... -
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Dopamine
Framework for prototyping of reinforcement learning algorithms
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms. It aims to fill the need for a small, easily grokked codebase in which users can freely experiment with wild ideas (speculative research). This first version focuses on supporting the state-of-the-art, single-GPU Rainbow agent (Hessel et al., 2018) applied to Atari 2600 game-playing (Bellemare et al., 2013). Specifically, our Rainbow agent implements the three components identified as most important... -
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TenorSpace.js
Neural network 3D visualization framework
TensorSpace is a neural network 3D visualization framework built using TensorFlow.js, Three.js and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser. From TensorSpace, it is intuitive to learn what the model structure is, how the model is trained and how the model predicts the results based on the intermediate information. After preprocessing the model, TensorSpace supports the visualization... -
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BWAPI
An API for interacting with Starcraft: Brood War (1.16.1)
Brood War Application Programming Interface or BWAPI is a free and open source C++ framework that is used to create Artificial Intelligence (AI) agents that play the popular Real Time Strategy (RTS) game Starcraft: Brood War. With BWAPI, players of varying levels can create AI agents to play Brood War, but with certain limits. BWAPI will only reveal visible parts of the game state to AI modules to enable programmers to write competitive non-cheating AIs. BWAPI also denies user input so users cannot take control of game units while the AI is in play. ...
