19 skills found
Kanaries / RathNext generation of automated data exploratory analysis and visualization platform.
antvis / AVA🤖 A framework for AI-native Visual Analytics.
iDC-NEU / YiGraphYiGraph is an LLM-driven agent for autonomous Graph Data Analytics based on Analytics-Augmented Generation. 易图（YiGraph）是一套基于 AAG（分析增强生成）框架构建的图分析智能体系统，致力于挖掘数据之间的关联关系，释放数据价值。
tspannhw / OpenSourceComputerVisionOpen Source Computer Vision with TensorFlow, MiniFi, Apache NiFi, OpenCV, Apache Tika and Python For processing images from IoT devices like Raspberry Pis, NVidia Jetson TX1, NanoPi Duos and more which are equipped with attached cameras or external USB webcams, we use Python to interface via OpenCV and PiCamera. From there we run image processing at the edge on these IoT device using OpenCV and TensorFlow to determine attributes and image analytics. A pache MiniFi coordinates running these Python scripts and decides when and what to send from that analysis and the image to a remote Apache NiFi server for additional processing. At the Apache NiFi cluster in the cluster it routes the images to one processing path and the JSON encoded metadata to another flow. The JSON data (with it's schema referenced from a central Schema Registry) is routed and routed using Record Processing and SQL, this data in enriched and augment before conversion to AVRO to be send via Apache Kafka to SAM. Streaming Analytics Manager then does deeper processing on this stream and others including weather and twitter to determine what should be done on this data. References https://community.hortonworks.com/articles/103863/using-an-asus-tinkerboard-with-tensorflow-and-pyth.html https://community.hortonworks.com/articles/118132/minifi-capturing-converting-tensorflow-inception-t.html https://github.com/tspannhw/rpi-noir-screen https://community.hortonworks.com/articles/77988/ingest-remote-camera-images-from-raspberry-pi-via.html https://community.hortonworks.com/articles/107379/minifi-for-image-capture-and-ingestion-from-raspbe.html https://community.hortonworks.com/articles/58265/analyzing-images-in-hdf-20-using-tensorflow.html
mfarragher / Obsidian Nlp AnalyticsProofs of concept for workflows that augment Obsidian.md knowledge management via NLP analytics & modelling
looker-open-source / App Ml AcceleratorLooker extension designed to give business users access to BigQuery and Vertex AI's machine learning capabilities.
Dharundp6 / RAG For Complex DataCutting-edge financial analysis tool using Retrieval-Augmented Generation (RAG) to process complex financial data. This project combines AI-powered document retrieval with contextual response generation for scalable, insightful financial analytics.
chetanambi / Innoplexus Online Hiring Hackathon Sentiment AnalysisAnalytics Vidhya is India’s largest and one of the world’s leading data science community and knowledge portal. It is a passionate community for Analytics / Data Science Professionals and aims at bringing together influencers and learners to augment knowledge. This platform allows people to know more about analytics from its articles, discussion forum, learning paths, meetups, webinars, training, etc. We get more than 1.5 Million monthly visits and have 100,000+ active registered users. We also help professionals & amateurs to sharpen their skillsets by providing a platform to participate in Hackathons.
scut-zx / L3AL3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
bitsenzes / How To Make A Successful Mobile AppTo make a effective mobile app, one thing you need to keep in mind is: Determine a problem which may be fixed by your app choose the features of your app The app should provide customer with tangible benefits including reducing costs via productivity enhancements, new earnings or enhancing the customer experience. Step 2: Recognize To create a successful mobile app, you need to identify or be manifest about: Application target users - An iphone app should be developed keeping in mind the target users of an application. Having a clear vision about the targeted group, enhance the success ratio of your app. Specific factors that should be considered while selecting mobile platforms and devices includes coverage, device support, performance and other features. Revenue model - The app market is booming like no time before. To be able to ensure this resource and generate earnings, app developer need to select appropriate approach in accordance with the app. You can find different models of making earnings from mobile applications including paid applications, separate application and in-app freemiums, commercials, subscription and pay for each download. These techniques can be employed to generate earnings. Direct Revenue Models - used to create successful mobile applications The graph describes a detailed account of application income models From this point you should also think about your budget, the amount of money you wish to set aside for the expansion, marketing and eventual release of your app. This a quick guide to the approximate costs for developing an app. Action 3: Design your software designing your app to get success in software development Designing your iphone app is yet another substantial factor in charge of success of an application on the market. An application developer must concentrate on the UI design, multi-touch gestures for touch-enabled devices and consider platform design standards as well. Today, emphasis is on the UI design of an app as it plays an essential role in the success of an app. Step 4: Determine method to develop the iphone app - native, web or cross Selecting the right approach for developing an software is highly important.Preferably, app development method must be in accordance with the time and budget limitations of any client. Native: Native software permits in delivering the best user experience but require important some talent to be developed. These software are basically program specific and require knowledge along with knowledge. Net: Web software are quick and cheap ones to develop and can run using multiple platforms. These are developed using HTML5, WEB PAGE and JavaScript code. These types of web software are less powerful than native programs. Hybrid: Hybrid approach is the new approach to develop any application.This approach combines prebuilt local containers with on-the-fly web coding in order to achieve the best of both worlds. In this method, the developer augments the internet code with native vocabulary to create unique features and access native APIs which can be not yet available through JavaScript. Step 5: Develop a prototype after identifying the approach is developing a prototype. That is actually the taking your idea and making it an application with some basic functionality.An auto dvd unit makes it quite easier to sell your idea to would-be who can now actually see the concrete benefits rather than just imagining or reading product explanation. It is rather helpful in attracting investors and working with manufacturers and finding licensees Step 6: Incorporate a suitable analytics tool use analytics to improve your application in order that it results in successful software development Step seven: Identify beta-testers. Beta testing is the first possibility to get feedback from your target customers. It is particularly significant as it enhances your visibility in the iphone app store. It not only reduce product chance but ensure you get that first push in the software store. To distinguish beta testers is another important job to ensure success of an app. Preparing for beta launch: Define focus on customer - It truly is highly important to identify and clearly define your targeted audience. This will allow you identify the right testers during your beta tester recruiting. Eliminate insects - Before beta screening your iphone app on different platforms you need to take into account vast majority of the devices which eliminate device specific insects. Identify goals - Beta testing is the best possibility to get real feedback from target customers. It provides a great chance to further understand marketplace and their requirements. Discovering goals for beta screening helps in focusing the efforts. These goals reduce your product launch chance. Step 8: Release and deploy the software Implementing an app requires plan, schedule and control over the movement of releases to test and live conditions. The objective of Deployment Management is to ensure the integrity of the live environment is protected and that the correct components are released. Step 9: Capture the metrics There has recently been substantial rise in the mobile app users in today's decade. As a result, the need to accumulate accurate metrics is highly important. As the amount of consumers using mobile applications steadily rises, the need to gather precise metrics from them is increasingly important. Unfortunately, many of the methods used to measure programs are taken from web stats. Funnel analysis signifies why users are failing to finish desired user actions including in-app purchases or ad clicks Measuring social discussing signifies what aspects of your application are recording the interest of your users Correlating demographic data with user behaviour Step 10: Upgrade your application with improvements and new features update and upgrade your mobile after you know that you have developed it properly - the last step to successful software development After capturing the metrics it becomes important to upgrade your app with advancements and revolutionary features. A new mobile iphone app without modern features loses its user friendliness extended range run. Upgrading your iphone app with innovative features enhances its visibility along with downloads of an app.
SAP-archive / Teched2020 ANA160ANA160 - Experience Augmented Analytics with SAP Analytics Cloud
geoffkip / Clinical Trial InspectorClinical Trial Inspector is an advanced AI agent designed to revolutionize how researchers, clinicians, and analysts explore clinical trial data. By combining Semantic Search, Retrieval-Augmented Generation (RAG), and Visual Analytics, it transforms raw data from ClinicalTrials.gov into actionable insights.
hcigroupkonstanz / STREAMSTREAM: Exploring the Combination of Spatially-Aware Tablets with Augmented Reality Head-Mounted Displays for Immersive Analytics
thegenuinegourav / E PocketSix Modules in one app for healing the pain of Demonetization : 1.) e-commerce :credit_card: with Augmented Reality 2.) Data Analytics :bar_chart: 3.) Offline Transfer Money Mode :moneybag: 4.) Interactive Blue Color Picker :large_blue_circle: which works as a captcha 5.) Set Reminder :alarm_clock: with push notifications :bell: 6.) Voice BotChat :microphone: to add money to paytm wallet
NIHAAL084 / FAQ ChatbotFAQ_Chatbot is a locally deployable, Retrieval-Augmented Generation (RAG) augmented chatbot. It leverages n8n orchestration, a Chroma vector store, and Ollama embeddings/LLMs to deliver accurate, ethically framed answers enriched by text, image, and table context. A built‑in Gradio UI and analytics dashboard provide a seamless user experience.
chetanambi / Game Of Deep Learning HackathonAnalytics Vidhya is India’s largest and one of the world’s leading data science community and knowledge portal. It is a passionate community for Analytics / Data Science Professionals and aims at bringing together influencers and learners to augment knowledge. This platform allows people to know more about analytics from its articles, discussion forum, learning paths, meetups, webinars, training, etc. We get more than 1.5 Million monthly visits and have 100,000+ active registered users. We also help professionals & amateurs to sharpen their skillsets by providing a platform to participate in Hackathons.
microsoft / CELA OGC Intelligent FeedbackDemonstrates augmenting unstructured feedback text with Azure Cognitive Services text analytics service. You can see a live demonstration of this project here: https://aka.ms/IntelligentFeedback.
zkcryptweb / MeshEraserData-Driven, AI-Augmented MeshEraser: A Scalable, Intelligent Distributed Platform for Spatial Analytics Suite.
ImmersiveAnalytics / QlikHealthcareAnalyticsProvides medical personnel access to analytical information in the field through Augmented Reality
