PyTorch
TensorFlow
Keras
Scikit-learn
NumPy
CUDA Toolkit
Pandas
MLKit
Workable
Greenhouse
Breezy.hr
Lever
Recruitee
LinkedIn Recruiter
Jobvite
SmartRecruiters
Workable is affordable, useable hiring software. It replaces email and spreadsheets with an applicant tracking system that your team will actually enjoy using.
PyTorch 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, PyTorch seems to be a lot more popular than Workable. While we know about 144 links to PyTorch, 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.
PyTorch: A popular deep learning framework for Python. - Source: dev.to / 19 days ago
Pre-configured environment. A good course ships a VM or container with Jupyter, pandas, scikit-learn, PyTorch or transformers, and realistic security datasets loaded. GTK Cyber students work in the Centaur VM, a free Apache 2.0 portable lab. No setup tax. - Source: dev.to / about 2 months ago
Install PyTorch with GPU support: Go to the official PyTorch website (pytorch.org) and use their configurator to get the correct pip or conda command for your specific CUDA version. It will look something like this:. - Source: dev.to / 3 months ago
Open source contributions to democratize AI capabilities represent one of the most direct ways individual developers can impact AI inequality. Contributing to projects like Apache MXNet, PyTorch, or specialized tools for underserved communities multiplies your impact beyond individual projects. - Source: dev.to / 4 months ago
What's particularly intriguing is how NemoClaw integrates with Nvidia's broader AI ecosystem. Unlike standalone HPC libraries, it's designed to work seamlessly with frameworks like PyTorch and TensorFlow, enabling researchers to combine traditional numerical methods with machine learning approaches in ways that weren't practical before. - Source: dev.to / 4 months ago
Link is 100% safe for work (it's a 3rd party job listing site - workable.com). Source: over 3 years ago
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.
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Breezy.hr - A Modern Hiring Tool for the Entire Team. A uniquely simple, visual hiring tool you and your team will love.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Lever - A modern web app for hiring. Lever is a simple, powerful way to manage lists of candidates during the hiring process.