TensorFlow
PyTorch
Keras
IBM Watson Studio
Scikit-learn
Azure Machine Learning Service
Pega Platform
Azure Machine Learning Studio
Unbench
Arc.dev
Toptal
YouTeam
PeoplePerHour
Fiverr
Unbench is a B2B hiring platform designed to make tech recruitment faster, smarter, and more affordable. Instead of reaching out to multiple recruiting agencies separately, companies can post a request once and receive pre-vetted candidates from a network of trusted recruiting companies and outsourcing partners.
Our fixed-fee pricing removes the guesswork from hiring costs, helping businesses save up to 40% compared to traditional agencies while reducing time-to-hire. Whether you need full-time employees, contract specialists, or subcontracting solutions, Unbench ensures high-quality matches without long-term commitments.
With a focus on speed, transparency, and flexibility, Unbench helps growing companies and scaleups quickly access top tech talentโeliminating lengthy hiring cycles and making recruitment simple, efficient, and cost-effective.
TensorFlow UnbenchNo features have been listed yet.
Unbench's answer:
One Request, Multiple Agencies โ Instead of working with one recruiting agency at a time, Unbench connects you with 20+ vetted agencies at once, delivering pre-screened candidates faster and more efficiently.
Fixed-Fee Hiring โ Unlike traditional agencies that charge a percentage of salary, Unbench offers a clear, fixed-fee model, helping companies save up to 40% on hiring costs without hidden fees or unexpected expenses.
Full-Time & Subcontracting in One Place โ Whether you need permanent employees or short-term specialists, Unbench helps you hire for direct roles, contract positions, or subcontracting solutionsโall in one platform.
Faster Time-to-Hire โ By leveraging our network of agencies and pre-vetted talent pools, Unbench significantly reduces time-to-hire, ensuring businesses get top candidates in days, not weeks.
Unbench's answer:
Unbench offers a faster, more cost-effective way to hire by connecting you with 20+ vetted recruiting agencies through a single request. Unlike traditional agencies, we provide pre-screened candidates at a fixed fee, saving you up to 40% on hiring costs with no hidden fees or long-term commitments. Whether you need full-time hires or subcontractors, Unbench delivers top talent in days, not weeks.
Unbench's answer:
Our primary audience includes growing companies, scaleups, and SMEs that need to hire tech talent quickly and cost-effectively.
Hiring Managers & HR Teams looking for pre-vetted candidates without spending weeks on sourcing and negotiations.
Tech Companies & Startups scaling their teams with full-time employees, contractors, or subcontractors.
Founders & Business Leaders who need a fast, flexible hiring solution without long-term commitments or high agency fees.
Unbench is built for companies that want top talent, fastโwithout the hassle and high costs of traditional recruiting.
Unbench's answer:
Unbench was born out of a real hiring problemโcompanies needed skilled tech talent fast, but traditional hiring processes were slow, expensive, and inefficient.
Many businesses struggled to find the right recruiting agencies, negotiate fair terms, and get quality candidates without long hiring cycles. At the same time, many top-tier specialists sat on the bench in outsourcing companies, waiting for their next project.
Based on our record, TensorFlow seems to be more popular. It has been mentiond 8 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.
The open-source movement offers hope here. Projects like Hugging Face are democratizing access to state-of-the-art models, while initiatives like Google's TensorFlow provide powerful frameworks without licensing costs. But even open-source solutions require technical expertise that many lack. - Source: dev.to / 5 months ago
Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 3 years ago
So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: about 4 years ago
Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: about 4 years ago
I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: over 4 years ago
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Arc.dev - Arc is the remote career platform helping developers build amazing careers from anywhere. Find thousands of top remote developer jobs online all in one place!
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Toptal - Hire the Top 3% of Freelance Talentยฎ. Toptal is an exclusive network of the top freelance software developers, designers, finance experts, product managers, and project managers in the world.
IBM Watson Studio - Learn more about Watson Studio. Increase productivity by giving your team a single environment to work with the best of open source and IBM software, to build and deploy an AI solution.
YouTeam - YouTeam is a new, smarter way to outsource.
