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Deepbench alternatives & similar sites

GitHub - baidu-research/DeepBench: Benchmarking Deep Learning operations on different hardware · GitHub — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Artificial Intelligence →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
deep-bench.ai ↗	100 match 2 shared topics	GitHub - baidu-research/DeepBench: Benchmarking Deep Learning operations on different hardware · GitHub	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deeperplayground.org ↗	70 match 2 shared topics	Deeper Playground - Deep Learning Research in Your Browser	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
1chipml.org ↗	67 match 2 shared topics	GitHub - 1chipML/1chipML: a library for numerical crunching and machine learning on microcontrollers · GitHub	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
devjyotidas.com ↗	67 match 2 shared topics	Devjyoti Das \| Deep Learning Researcher @UoS	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
avantadigital.com ↗	66 match 2 shared topics	Avanta Digital Systems USA \| Deep Learning - Machine Vision Solutions	US~ en	artificial-intelligence OpenCart	robotsllmsaihumans	emailphone	none
syedamaan.com ↗	66 match 2 shared topics	Syed Amaan - AI Engineer \| LLM Research \| Machine Learning	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
synapseqa.com ↗	66 match 2 shared topics	GitHub - SomniferousWallaby/SynapseQA: LLM-assisted test generation and management tool. · GitHub	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deepdivision.net ↗	66 match 2 shared topics	Deep Division \| Deep Division is blog about Deep Learning, Machine Learning, programming and mathematics.	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
pmgautam.com ↗	66 match 2 shared topics	Machine Learning & AI Insights – A blog by Pramesh Gautam	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
lucianmocan.com ↗	65 match 2 shared topics	Lucian Mocan \| Systems researcher/engineer and software engineer working on systems, developer tools, and AI-assisted research automation.	en	technology-and-computing	robotsllmsaihumans	emailphone	none
accelfury.com ↗	65 match 2 shared topics	Portable FPGA IP cores and hardware acceleration engineering \| AccelFury	en	technology-and-computing	robotsllmsaihumans	emailphone	none
aayushgautam.tech ↗	65 match 2 shared topics	Aayush Gautam - AI & Machine Learning Developer	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
dingran.me ↗	65 match 2 shared topics	Ran Ding \| Software Engineer & ML Researcher	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
devexhub.com ↗	65 match 2 shared topics	Custom AI Agents & Machine Learning Solutions \| Devex Hub	IN~ en	artificial-intelligence	robots llmsaihumans	email phone	none
actamachina.com ↗	65 match 2 shared topics	Acta Machina \| Machine Learning Blog	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
digitalape.co.uk ↗	65 match 2 shared topics	GitHub - marksunner/storytelling-psychology: The psychology of making ideas land — communication frameworks, narrative transportation, and persuasion science · GitHub	GB en	technology-and-computing	robotsllmsaihumans	emailphone	none
deepparse.org ↗	65 match 2 shared topics	Here is Deepparse — deepparse 0.10.0 documentation	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
deepreinforcementlearningbook.org ↗	65 match 2 shared topics	Home - Deep Reinforcement Learning Book	en	artificial-intelligence	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.