Papers with Code
ML5.js
arXiv
Spell
Lobe
ML Showcase
Apple Machine Learning Journal
Amazon Machine Learning
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.
Papers with Code 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, Papers with Code seems to be more popular. It has been mentiond 100 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.
Benchmark Primary focus Evaluation metrics System coverage Usability Link HumaneBench AI benchmark Human well being, humane AI principles HumaneScore, flip tests under adversarial instruction, long term well being 15 popular chat models tested across 800 realistic scenarios Designed for chatbot safety research; requires ensemble judging for... - Source: dev.to / 8 months ago
An helpful approach is to browse the state of the art models in paperswithcode. This will give you an idea of the performance of different models on various tasks. - Source: dev.to / almost 2 years ago
I think a way around this would some sort of voting/ popularity system? Papers with code (https://paperswithcode.com/) does this via Github stars sorting. Sure it doesn't mean something is established. But it at least gives some way to filter through the firehose of papers. Love this project btw! I think it has potential (and the timing is right now that everyone is looking for the next "attention is all... - Source: Hacker News / almost 2 years ago
Adapting to Evolving Standards: With the rapid progress in deep learning research and applications, staying current with the latest developments is crucial. The checklist underscores the importance of considering established standard architectures and leveraging current state-of-the-art (SOTA) resources, like paperswithcode.com, to guide project decisions. This dynamic approach ensures that projects benefit from... - Source: dev.to / about 2 years ago
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / over 2 years ago
ML5.js - Friendly machine learning for the web
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arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
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