Welcome to ThinkTrends AI Model Hub - the home of seamless AI model building, exploration, and deployment. We provide an intuitive and user-friendly platform that allows anyone, irrespective of their technical background, to build and deploy AI models without the need for a large data science or engineering team
At ThinkTrends AI Model Hub, we're all about accessibility and user-friendliness. We combine a simplified model building process with an interactive codeless workflow to make AI accessible to everyone, regardless of their technical expertise.
We believe in the power of AI and its potential to be harnessed by all. With a few clicks, you can build, train, or clone models tailored to your specific needs. Our intuitive platform lets you deploy and use your model with unprecedented ease.
Dive into AI modeling even if you're not a seasoned programmer. ThinkTrends offers a codeless workflow that delivers a visual interface where you can simply drag and drop elements to create your models.
Explore the expansive landscape of AI with ThinkTrends AI Model Hub's comprehensive model library. Each model in our library has been meticulously developed and fine-tuned by seasoned AI experts, ensuring top- notch performance and reliability.
Computer vision is a field of artificial intelligence that trains algorithms to interpret and understand the visual world. Create state-of-the-art recognition systems with ThinkTrends Model Builder from your digital images and videos, teaching the AI to really “see” and react accordingly.
Object detection is computer vision and image processing technology that detects instances of certain objects (such as humans, buildings, or cars) in digital images and videos. Well-researched domains of object detection include face detection and pedestrian detection. Object detection has applications in many areas of computer vision, including image retrieval and video surveillance.
Similar to object detection, image segmentation is the process of partitioning a digital image into multiple segments (that is, sets of pixels, also known as super-pixels). This technique is even more powerful and precise in detecting the objects from images, as it finds accurate boundaries and edges of the object. More precisely, image segmentation is the process of assigning a label to every pixel in an image such that pixels with the same label share certain characteristics.
ThinkTrends lets you select any image using robust image analysis tools and perform "reverse image search" (like Google) to find similar images — typically based on design, color, fonts, and visual indicators!
This has a wide range of applications across many industries; for instance, you can avoid designing a product that is too similar to an existing product in the market (for example, drug pills or drug cartons).
Automatic image captioning is the process by which an AI model automatically assigns a description or a set of keywords to a digital image. This application of computer vision is used in image retrieval systems to organize and locate images of interest from a database.
This unique AI technology built into the ThinkTrends platform lets you create a model that tells you "what happens next" from a video or series of images. Essentially, the model can generate short videos or "frame of images" that forecast into the future to show what happens next. This game-changing technology allows you to create highly effective models that can monitor weather from satellite imagery or, with respect to sports, you can run simulations of what-if scenarios!
This technology lets you classify images into categories (e.g., types of pills, animals, and buildings). Unlike object detection and image semantic segmentation, this type of AI model doesn't detect precise pixel regions of the object from the image, but rather holistically labels what it "sees".
Natural language processing (NLP) is a field of artificial intelligence that allows algorithms to understand and interpret human language. Due to elements such as dialects, grammar, and the constant evolution of human languages, NLP is by far the most challenging branch in AI.
Our unique named-entity recognition (NER) NLP technology locates and classifies "entities" from unstructured text into predefined categories, such as the key people, adverse reactions, medication errors, medical codes, time expressions, quantities, monetary values, percentages, etc. Our best-of-breed deep neural networks captures "context" correctly to accurately reflect natural language patterns.
A relation extraction NLP model captures word associations and relationships between phrases. This complex technique resembles to how humans read and understand language and has useful applications in decoding medical literature.
ThinkTrends lets you create custom language translators that are specific to your domain
Generate summaries from long documents customized to your domain. Our text summarization AI generates easy-to-understand narratives and captures important elements that you don't want to miss!
Easily understand complex jargon by utilizing ThinkTrends paraphrasing NLP technology. We use the most advanced deep learning technology to generate paraphrases that are human-like and highly functional.
A dialog manager (DM) is a component of a dialog system (DS), responsible for the state and flow of the conversation. The input to the DM is the human utterance that gets processed into a set of tasks to process. ThinkTrends NLP tools let you create conversational AI that "reads" and reacts accordingly to human questions.
Create realistic conversational chatbots that convincingly simulate how a human would behave as a conversational partner. In case you were wondering — yes, our chatbots pass the Turing test!
Document classification or document categorization is a problem in library science, information science and computer science. The task is to assign a document to one or more classes or categories. This may be done "manually" (or "intellectually") or algorithmically. The intellectual classification of documents has mostly been the province of library science, while the algorithmic classification of documents is mainly in information science and computer science. The problems are overlapping, however, and there is therefore interdisciplinary research on document classification.
In machine learning and natural language processing, a topic model is a type of statistical model for discovering the abstract "topics" that occur in a collection of documents. ThinkTrends text-mining tool lets you discover hidden semantic structures in a text body and intuitively understand the different topics covered in a given document.
Time series models are used to forecast future values from numeric metrics (e.g., stock prices, econometrics, active users, wind speeds, etc.). Numbers drive decisions in any domain or application — our time series Al gives you the versatility to build powerful forecasting models for any domain.
You have the option to pick from different timeseries algorithms for your model. These difference in models allow you to choose the best model based on the type and volume of data. Whether you choose Neural Networks, ARIMA, Linear Regression or Exponential smoothing, ThinkTrends Model Builder provides guides and recommendations for chosing the right model.
Create forecasting models from multiple time metrics at once! ThinkTrends Multimetric Timeseries gives you the advantage of building models that forecast trends and risk from different data sources from one place.
Apply Timeseries metrics on geospatial data — this allows you to visualize how metrics change over time embedded on top of a map. You can forecast geospatial patterns and visualize how they change over time.
Geospatial data is often highly unstructured. Whether its shapefiles, 3D geospatial data (e.g., lidar or drone imagery), or lat/lon coordinates, ThinkTrends lets you seamlessly visualize geospatial data with our advanced visualization engine and build models that can predict geospatial patterns, aggregated metrics and anomalies that are projected into visualizations.
Create classification or regression models aggregated by different regions and detect patterns or anomalies in choropleth map.
ThinkTrends allows you to create models from the geospatial grid or heat map to monitor events.
ThinkTrends point cloud AI models let you detect objects in 3D space. Our AI tools for point cloud can be used in the field of robotic/drones, medical CT scans, or even Lidar.
Visualize complex 3D models of lungs, brains, or other complicated objects, and then teach your AI model to hunt for tumors.
Use satellite imagery or drone footage to create accurate 3D topology models in 3D space and map it to the 2D geospatial region all through just a few clicks.
Create highly accurate models that can detect landmarks, buildings, vehicles, or more in 3D space. Give us a call if you have Lidar data!
Structured data is any data that can be viewed in spreadsheets — data that is organized by rows and columns, where each row represents a unique data point (i.e., payment transactions, contract awards, patient records, etc.) and each column represents a field (e.g. Name, DOB, age) and are typically either numeric, text or date fields. An AI model on structured data is created by selecting a "target" field (i.e., the field to predict), and fields that will be used to learn and predict from (also known as features).
A regression model predicts a numeric value. Some examples of regression problems include how much will a house sell for or how much will a given consumer spend on a website in the next month.
A regression model has a target column that is numeric.
A classification model predicts a category from a discrete, fixed number of possible categories. Some examples of classification problems include whether an email is spam or not, or what type of classes a student might be interested in. If your target column's value can be one of three or more choices, then you have a multiclass classification problem. A classification model has a target column that is categorical.
A sequential model can be either a classification or regression model, in which each row is in sequential order.
Speech recognition and speech synthesis are emerging technologies in artificial intelligence that have been popularized by companies such as Apple, Google, Amazon, and Microsoft. Currently, these technologies are largely consumer facing products that require internet access (e.g., Alexa, Siri, etc.) and are used by sophisticated by technology companies. With ThinkTrends speech-to-text and text-to-speech tools you can easily train AI to learn from voice audio.
Teach machines to actually "speak like you" or a real human — ThinkTrends advanced speech synthesis technology lets you train models that captures and learns your speech patterns such as tone, inflections, and intonations without any code... which begs the question — are we in a simulation?
Similarly, teach machines to “listen” and transcribe audio to text. Although we see this application in our phones, this is not domain or use-case specific. ThinkTrends lets you create custom speech-to-text to better understand your customers or the people you service (also see our chatbot technology to learn how you can automate intelligent QA systems).
The ThinkTrends Model Explorer enables a more dynamic interaction with your AI models. You can freely explore your models, make alterations, and view how the models react to these changes in real-time. This unique feature allows for a more flexible and adaptable model-building process, facilitating more precise predictions and stronger business decisions.
ThinkTrends Model Hub presents an easy-to-use Model Inference API that makes running inferences a breeze. With our API, you can integrate AI model predictions into your applications seamlessly and in real-time.
Reliable, high-speed access to your models
Incorporate our models into your tech stack with a broad selection of languages
Experience a new level of transparency and control in your AI journey with our Metrics Explorer. It offers:
At ThinkTrends AI Model Hub, we're making AI accessible to everyone. Whether you're an industry veteran looking to streamline your model- building process or a novice eager to delve into the world of AI, we have the tools and features you need. Experience an interactive, dynamic, and exhilarating journey through the entire data science workflow. From data pre-processing to model building, training, and deployment - visualize and comprehend every step with ThinkTrends.