Based on our record, Keras should be more popular than Greenhouse. It has been mentiond 31 times since March 2021. 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.
I applied a ton on LinkedIn and reached out to recruiters through there. greenhouse.io is also a good one. Otherwise, Google is your best friend, and I'd hand pick positions that make you apply directly on the company website rather than 3rd party. Source: over 1 year ago
It's insane how shit some of these application forms are. Why can't every company have something like greenhouse.io so I don't have to make a fucking account to send you my resume and then fill out a bunch of the same info anyway. Source: almost 2 years ago
Many jobs use services like greenhouse.io to post their jobs, and each job posting has an application form right on the listing. I'm applying to several companies where I'd be happy in several different positions (e.g. SWE on team X, SWE on team Y, SWE on team Z). Should I be filling out each form separately? Should I fill out just one but indicate that I'm open to other roles? Should I be trying to track down a... Source: about 2 years ago
I'd say I am not anti social, and I do get along well with people. No problem working in a team or by myself. I definitely get what you're saying though about looking like another It guy, but I just don't know what to edit. I wonder if my resume even makes it to a real person and isn't just being thrown out. I've noticed 99% of the jobs I apply for all use the same greenhouse.io format, and I never ever hear back... Source: about 3 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 1 month 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 / about 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 / 12 months 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
Pandas comes with many complex tabular data operations. And, since it exists in a Python environment, it can be coupled with lots of other powerful libraries, such as Requests (for connecting to other APIs), Matplotlib (for plotting data), Keras (for training machine learning models), and many more. - Source: dev.to / over 1 year ago
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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.
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PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
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Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.