Olivia is an open-source chatbot built in Golang using Machine Learning technologies. Its goal is to provide a free and open-source alternative to big services like DialogFlow. You can chat with her by speaking (STT) or writing, she replies with a text message but you can enable her voice (TTS).
https://olivia-ai.orgTags | translations machine-learning natural-language-processing ai deep-learning neural-network backend chatbot artificial-intelligence assistant olivia voice-assistant |
Implementation | Go |
License | MIT |
Platform | Windows MacOS Linux |
Quickly add voice to your app with the Alan Platform. Create an in-app voice assistant to enable human-like conversations and provide a personalized voice experience for every user. A powerful web-based IDE where you can write, test and debug dialog scenarios for your voice assistant or chatbot.
machine-learning text-to-speech sdk chatbot voice voice-commands speech-recognition voice-control voice-assistant conversational-ai voice-ai alan-voice alan-ai alan-studio alan-web-sdk alan-sdk-web ai conversational nlp natural-language dialogs dialog-flow enterprise-ai voice-development add-voice-to-your-app voice-interfacespaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. spaCy comes with pre-trained statistical models and word vectors, and currently supports tokenization for 20+ languages. It features the fastest syntactic parser in the world, convolutional neural network models for tagging, parsing and named entity recognition and easy deep learning integration. It's commercial open-source software, released under the MIT license. 💫 Version 2.0 out now! Check out the new features here.
natural-language-processing data-science big-data machine-learning cython nlp artificial-intelligence ai spacy nlp-library neural-network neural-networks deep-learningBotSharp is an open source machine learning framework for AI Bot platform builder. This project involves natural language understanding, computer vision and audio processing technologies, and aims to promote the development and application of intelligent robot assistants in information systems. Out-of-the-box machine learning algorithms allow ordinary programmers to develop artificial intelligence applications faster and easier. It's witten in C# running on .Net Core that is full cross-platform framework. C# is a enterprise grade programming language which is widely used to code business logic in information management related system. More friendly to corporate developers. BotSharp adopts machine learning algrithm in C# directly. That will facilitate the feature of the typed language C#, and be more easier when refactoring code in system scope.
artificial-intelligence natural-language-processing chatbot chatbot-framework nlp nlu automationMycroft is an Artificial intelligence for everyone. It uses open software to process natural language, determine your intent and take action. It can integrate a host of professional functions – Control scenes to conserve power, grant office access with your voice. It can control all of your media and devices with the sound of your voice. Adjust your thermostat, turn on your lights, water your lawn, play your favorite movie and lot more.
ai nlp voice-assistant raspberry-pi natural-language-processing natural-language voice-as-an-interface artificial-intelligence personal-assistant speech-recognitionA comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
machine-learning deep-learning tensorflow pytorch keras matplotlib aws kaggle pandas scikit-learn torch artificial-intelligence neural-network convolutional-neural-networks tensorflow-tutorials python-data ipython-notebook capsule-networkThinc is the machine learning library powering spaCy. It features a battle-tested linear model designed for large sparse learning problems, and a flexible neural network model under development for spaCy v2.0. Thinc is a practical toolkit for implementing models that follow the "Embed, encode, attend, predict" architecture. It's designed to be easy to install, efficient for CPU usage and optimised for NLP and deep learning with text – in particular, hierarchically structured input and variable-length sequences.
machine-learning deep-learning artificial-intelligence ai nlp natural-language-processing spacy machine-learning-libraryQuickly add voice to your app with the Alan Platform. Create an in-app voice assistant to enable human-like conversations and provide a personalized voice experience for every user. A powerful web-based IDE where you can write, test and debug dialog scenarios for your voice assistant or chatbot.
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ios machine-learning text-to-speech sdk chatbot voice voice-commands speech-recognition voice-control voice-assistant conversational-ai voice-ai alan-voice alan-studio alan-ios-sdkQuickly add voice to your app with the Alan Platform. Create an in-app voice assistant to enable human-like conversations and provide a personalized voice experience for every user. A powerful web-based IDE where you can write, test and debug dialog scenarios for your voice assistant or chatbot.
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machine-learning text-to-speech sdk ionic chatbot voice voice-commands speech-recognition voice-control voice-assistant conversational-ai voice-ai alan-studio alan-ionic-sdkQuickly add voice to your app with the Alan Platform. Create an in-app voice assistant to enable human-like conversations and provide a personalized voice experience for every user. A powerful web-based IDE where you can write, test and debug dialog scenarios for your voice assistant or chatbot.
android machine-learning text-to-speech sdk voice voice-commands speech-recognition voice-control voice-assistant conversational-ai alan-voice alan-ai alan-sdk alan-studioA curated list of awesome awesomeness about artificial intelligence(AI). If you want to contribute to this list (please do), send me a pull request.
natural-language-processing computer-vision deep-learning artificial-intelligence neural-networks artificial-neural-networks machine-lQuickly add voice to your app with the Alan Platform. Create an in-app voice assistant to enable human-like conversations and provide a personalized voice experience for every user. A powerful web-based IDE where you can write, test and debug dialog scenarios for your voice assistant or chatbot.
machine-learning text-to-speech chatbot voice-commands speech-recognition voice-assistant conversational-aiA Machine Learning library written in pure Go designed to support relevant neural architectures in Natural Language Processing. spaGO is self-contained, in that it uses its own lightweight computational graph framework for both training and inference, easy to understand from start to finish.
nlp machine-learning natural-language-processing deep-learning neural-network automatic-differentiation artificial-intelligence recurrent-networks lstm computation-graph question-answering bart automatic-translation deeplearning language-model bert transformer-architecture bert-as-service named-entities-recognitionCountdown timers to keep track of a bunch of CV/NLP/ML/AI conference deadlines.
deep-learning deep-neural-networks machine-learning computer-vision artificial-intelligence natural-language-processing roboticsBelow you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an ai expert. We made these charts for our new employees to make them AI Experts but we wanted to share them here to help the community. If you are interested to become an AI EXPERT at AMAI in Germany, or you want to hire an AI Expert, please say hi@am.ai.
data-science machine-learning roadmap deep-learning neural-network artificial-intelligence data-analysis study-plan ai-roadmapTensorLayer is a novel TensorFlow-based deep learning and reinforcement learning library designed for researchers and engineers. It provides a large collection of customizable neural layers / functions that are key to build real-world AI applications. TensorLayer is awarded the 2017 Best Open Source Software by the ACM Multimedia Society. Simplicity : TensorLayer lifts the low-level dataflow interface of TensorFlow to high-level layers / models. It is very easy to learn through the rich example codes contributed by a wide community.
tensorlayer deep-learning tensorflow machine-learning data-science neural-network reinforcement-learning artificial-intelligence gan a3c tensorflow-tutorials dqn object-detection chatbot tensorflow-tutorial imagenet google"Data is the new oil" is a saying which you must have heard by now along with the huge interest building up around Big Data and Machine Learning in the recent past along with Artificial Intelligence and Deep Learning. Besides this, data scientists have been termed as having "The sexiest job in the 21st Century" which makes it all the more worthwhile to build up some valuable expertise in these areas. Getting started with machine learning in the real world can be overwhelming with the vast amount of resources out there on the web. "Practical Machine Learning with Python" follows a structured and comprehensive three-tiered approach packed with concepts, methodologies, hands-on examples, and code. This book is packed with over 500 pages of useful information which helps its readers master the essential skills needed to recognize and solve complex problems with Machine Learning and Deep Learning by following a data-driven mindset. By using real-world case studies that leverage the popular Python Machine Learning ecosystem, this book is your perfect companion for learning the art and science of Machine Learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute Machine Learning systems and projects successfully.
machine-learning deep-learning text-analytics classification clustering natural-language-processing computer-vision data-science spacy nltk scikit-learn prophet time-series-analysis convolutional-neural-networks tensorflow keras statsmodels pandas deep-neural-networksThe OpenCog Framework is a platform to build and share artificial intelligence programs. It includes components for procedural and declarative knowledge representation (AtomSpace), task scheduling (CogServer), AI algorithm containers (MindAgents), connectors to instant messaging and virtual world systems, and other components. MindAgents and other add-ons explore a wide variety of AI techniques including evolutionary program learning (MOSES), natural language processing, and others.
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