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It helps you understand and explore advanced deep learning. It is actively used and maintained in the Google Brain team. You can use It either as a library from your own python scripts and notebooks or as a binary from the shell, which can be more convenient for training large models. It includes a number of deep learning models (ResNet, Transformer, RNNs, ...) and has bindings to a large number of deep learning datasets, including Tensor2Tensor and TensorFlow datasets. It runs without any changes on CPUs, GPUs and TPUs.
1,082
companies
Technoloy Usage Stadistics and Market Share
You can customize this data to your needs by filtering for geography, industry, company size, revenue, technology usage, job postions and more. You can download the data in Excel or CSV format.
You can get alerts for this data. You can get started by selecting the technology you are interested in and then you will receive alerts in your inbox when there are new companies using that technology.
You can export his data to an Excel file, which can be imported into your CRM. You can also export the data to an API.
Technology
is any of
Trax
Company | Country | Industry | Employees | Revenue | Technologies |
---|---|---|---|---|---|
United States | Banking | 10K |
| Trax | |
United States | Airlines And Aviation | 660 | $50M | Trax | |
United States | Higher Education | 11K |
| Trax | |
10K |
| Trax | |||
Canada | Airlines And Aviation | 22K |
| Trax | |
Staffing And Recruiting |
| Trax | |||
United States | Airlines And Aviation | 7.2K | $2.6B | Trax | |
United States | Manufacturing | 250 | $320M | Trax | |
United States | Restaurants | 10K | $9M | Trax | |
Australia | Transportation, Logistics, Supply Chain And Storage | 5K | $1.3B | Trax |
We have data on 1,082 companies that use Trax. Our Trax customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Trax is used in 36 countries
There are 202 alternatives to Trax
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Frequently asked questions
Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.
We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.
Trax is a cutting-edge technology in the realm of Machine Learning Tools, heralding a new era of efficiency and innovation. This advanced tool leverages the power of machine learning algorithms to analyze vast amounts of data and derive valuable insights for businesses. Trax enables companies to make data-driven decisions, optimize processes, and gain a competitive edge in today's fast-paced digital landscape.
Trax falls under the category of Machine Learning Tools, focusing on streamlining data analysis and enhancing predictive capabilities. By harnessing the capabilities of artificial intelligence and machine learning, Trax empowers organizations to extract meaningful patterns from complex datasets, leading to improved decision-making and strategic planning. Whether it's identifying market trends, forecasting customer behavior, or optimizing operations, Trax provides a versatile platform for unlocking the full potential of data.
Founded in 2010 by a team of data science enthusiasts, Trax emerged with a mission to revolutionize the way businesses harness data for growth and innovation. The founders recognized the increasing importance of data analytics in driving business success and set out to develop a solution that would democratize access to advanced analytical tools. Since its inception, Trax has continuously evolved, incorporating the latest advancements in machine learning and data processing to meet the evolving needs of modern enterprises.
Currently, Trax commands a significant market share within the Machine Learning Tools category, thanks to its robust capabilities and user-friendly interface. With a growing demand for data-driven insights in businesses across various industries, Trax is poised for continued expansion in the coming years. Analysts project a promising trajectory for Trax, forecasting a steady increase in market share as more organizations recognize the value of leveraging machine learning tools for strategic decision-making and performance optimization.
You can access an updated list of companies using Trax by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.
As of now, we have data on 1,082 companies that use Trax.
Trax is used by a diverse range of organizations across various industries, including "Banking", "Airlines And Aviation", "Higher Education", "Airlines And Aviation", "Staffing And Recruiting", "Airlines And Aviation", "Manufacturing", "Restaurants", "Transportation, Logistics, Supply Chain And Storage". For a comprehensive list of all industries utilizing Trax, please visit TheirStack.com.
Some of the companies that use Trax include Zions Bancorporation, Breeze Airways (TM), University of Utah, Deutsche Post & DHL, Air Canada, Tatopani, Hawaiian Airlines, Orbit Irrigation, Chartwells Higher Education, Jetstar and many more. You can find a complete list of 1,082 companies that use Trax on TheirStack.com.
Based on our data, Trax is most popular in United States (332 companies), United Kingdom (56 companies), France (53 companies), Canada (41 companies), India (14 companies), Australia (12 companies), Germany (12 companies), Switzerland (10 companies), Ireland (9 companies), Netherlands (8 companies). However, it is used by companies all over the world.
You can find companies using Trax by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.