Workable
Greenhouse
Breezy.hr
Lever
Recruitee
LinkedIn Recruiter
Jobvite
SmartRecruiters
Keras
TensorFlow
PyTorch
Scikit-learn
TFlearn
Clarifai
MLKit
DeepPy
Workable is affordable, useable hiring software. It replaces email and spreadsheets with an applicant tracking system that your team will actually enjoy using.
WorkableWe used Workable to manage hiring across a few open roles, and overall it made the process much more organized than juggling emails and spreadsheets. Posting jobs and tracking candidates in one dashboard helped keep everyone on the same page, especially when multiple people were involved in interviews and feedback.
Where Workable shines is simplicity. You donโt need much training to get started, and most features are easy to understand. That said, if your hiring process is complex or heavily customized, you might start to feel boxed in. Some advanced reporting and automation options are also locked behind more expensive plans, which may not feel worth it for smaller teams.
Overall, Workable is a reliable, well-designed hiring tool that does exactly what it promises. Itโs not perfect, but for teams that want a clean and efficient recruiting setup without too much complexity, itโs a solid choice
Based on our record, Keras seems to be a lot more popular than Workable. While we know about 35 links to Keras, we've tracked only 1 mention of Workable. 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.
Link is 100% safe for work (it's a 3rd party job listing site - workable.com). Source: over 3 years ago
The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / about 1 year ago
If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and runningโan essential part of the startup hustle. - Source: dev.to / over 1 year ago
At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / almost 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 / about 2 years 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 / about 2 years ago
Greenhouse - Greenhouse Software makes companies great at hiring.
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.
Breezy.hr - A Modern Hiring Tool for the Entire Team. A uniquely simple, visual hiring tool you and your team will love.
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Lever - A modern web app for hiring. Lever is a simple, powerful way to manage lists of candidates during the hiring process.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
