使用Ludwig的公司
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code. All you need to provide is a CSV file containing your data, a list of columns to use as inputs, and a list of columns to use as outputs, Ludwig will do the rest.
使用Ludwig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\": [
\"ludwig-2\"
]
}"Technology
is any of
Ludwig
员工数600Hospitals and Health CareLudwig高置信度
员工数10kHospitals and Health CareLudwig高置信度
员工数157HospitalityLudwig高置信度
员工数8HospitalityLudwig高置信度
员工数2.2kIndustrial Machinery ManufacturingLudwig高置信度
员工数2.2kHospitals and Health CareLudwig高置信度
员工数1kGovernment AdministrationLudwig高置信度
员工数10kHospitals and Health CareLudwig高置信度
员工数501Hospitals and Health CareLudwig高置信度
员工数1k收入$296MConstructionLudwig高置信度
我们拥有关于2,537家公司和用户使用Ludwig的数据。我们的Ludwig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 Ludwig 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。
Ludwig is a powerful, yet user-friendly, open-source machine learning tool that allows users to build and train deep learning models without the need for extensive technical expertise. Developed with the vision of democratizing machine learning, Ludwig simplifies the model-building process by providing a flexible platform that supports various data types and requires minimal coding. Utilizing a declarative configuration file approach, users can easily define and deploy complex models for a wide range of tasks, including text classification, image recognition, and time series forecasting.
In the realm of Machine Learning Tools, Ludwig stands out as a versatile solution that appeals to both beginners and seasoned data scientists. Its intuitive interface and extensive feature set make it an attractive option for individuals and organizations looking to leverage the power of deep learning technologies without the steep learning curve typically associated with such endeavors. By offering a seamless blend of usability and functionality, Ludwig has emerged as a popular choice for those seeking to harness the potential of machine learning in their projects.
Founded in 2019 by the Uber AI team, Ludwig was created with the goal of simplifying the machine learning workflow and enabling more widespread adoption of deep learning techniques. By focusing on accessibility and ease of use, the developers behind Ludwig aimed to bridge the gap between traditional data science practices and the cutting-edge capabilities of deep learning models. Since its inception, Ludwig has garnered a strong following within the machine learning community and continues to evolve as a leading tool in the field.
As of the latest market trends, Ludwig has been steadily increasing its market share within the Machine Learning Tools category. With its growing popularity and reputation for user-friendly design, Ludwig is poised for continued growth in the foreseeable future. As more companies and individuals recognize the value of accessible machine learning solutions, Ludwig is expected to further solidify its position as a key player in the field, offering innovative capabilities to a broader audience of users.