LinkedIn Recruiter
Breezy.hr
Greenhouse
Workable
Lever
Recruitee
Jobvite
SmartRecruiters
Keras
TensorFlow
PyTorch
Scikit-learn
OpenCV
TFlearn
Clarifai
Microsoft Cognitive Toolkit (Formerly CNTK)
LinkedIn RecruiterBased on our record, Keras seems to be a lot more popular than LinkedIn Recruiter. While we know about 32 links to Keras, we've tracked only 2 mentions of LinkedIn Recruiter. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
LinkedIn has developed special paid services with advanced features for companies that recruit a lot and often. These services provide more advanced filtering, have no limits for connections, and other options that facilitate hiring big numbers of employees. Learn more about these services on the LinkedIn Recruiter page. - Source: dev.to / over 2 years ago
LinkedIn Recruiter is backed by a mature algorithm that recognizes these things. The application quite literally recommends the optimal candidates to poach. [0]: https://business.linkedin.com/talent-solutions/recruiter. - Source: Hacker News / over 2 years ago
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 16 days ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / 2 months ago
After setting the variables for the environment, the next step is to install dependencies. To use Gemma, KerasNLP is the dependency used. KerasNLP is a collection of natural language processing (NLP) models implemented in Keras and runnable on JAX, PyTorch, and TensorFlow. - Source: dev.to / 2 months ago
Other popular machine learning tools include PyTorch, Keras, and Scikit-learn. PyTorch is an open-source machine learning library developed by Facebook that is known for its ease of use and flexibility. Keras is a high-level neural networks API that is written in Python and is known for its simplicity. Scikit-learn is a machine learning library for Python that is used for data analysis and data mining tasks. - Source: dev.to / about 1 year ago
I'm not aware of anything off-the-shelf, but if you have sufficient programming experience, one way to do this would be to build a large dataset of reference images and pictures and use something like keras to train a convolutional neural network on them. Source: about 1 year ago
Breezy.hr - A Modern Hiring Tool for the Entire Team. A uniquely simple, visual hiring tool you and your team will love.
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Greenhouse - Greenhouse Software makes companies great at hiring.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Workable - Hire better with Workable. Post to the top job boards and enjoy a simple, intuitive applicant tracking system, made for teams. Start a free trial today.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.