使用Trax的公司
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.
使用Trax的公司列表
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"trax\"
]
}"Technology
is any of
Trax

员工数8Technology, Information and Internet
Trax中置信度员工数33Airlines and Aviation
Trax低置信度
员工数46Technology, Information and Internet
Trax低置信度
员工数30k收入$4.9BInformation Services
Trax低置信度
员工数346k收入$61BIT Services and IT Consulting
Trax低置信度
员工数126IT Services and IT Consulting
Trax低置信度
员工数174IT Services and IT Consulting
Trax低置信度
员工数24kAirlines and Aviation
Trax低置信度
员工数56IT Services and IT Consulting
Trax低置信度
员工数85Technology, Information and Internet
Trax低置信度
我们拥有关于26家公司和用户使用Trax的数据。我们的Trax用户和客户列表可供下载,并附有重要的公司信息,包括行业分类、组织规模、地理位置、融资轮次和收入数据等。
技术使用统计和市场份额
如何定位 Trax 用户
- 如何自定义此列表?
您可以根据地理位置、行业、公司规模、收入、技术使用、职位发布等需求自定义此数据。您可以将数据下载为Excel或CSV格式。
- 如何在公司采用此技术时收到通知?
您可以为此数据设置提醒。您可以通过选择您感兴趣的技术开始,当有新公司使用该技术时,您将收到收件箱中的提醒。
- 如何将此数据导入我的CRM?
您可以将此数据导出为Excel文件,然后导入到您的CRM中。您也可以将数据导出到API。
常见问题
我们的数据来源于从数百万家公司收集的职位发布。我们监控公司网站、招聘网站和其他招聘平台上的这些发布。分析职位发布提供了一种可靠的方法来了解公司正在使用的技术,包括他们使用的内部工具。
我们每天刷新数据,以确保您访问的是最新的信息。这一频繁的更新过程保证了我们的洞察和情报反映行业的最新发展和趋势。
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.