Top all-time · #2158
Tryolabs
Company blog · tryolabs.com/blogaidata
Tryolabs is the company blog at tryolabs.com, writing about ai and data. Since 2012, 33 different Hacker News readers have linked it 125 times, most often “Machine Learning on the Edge Devices: Benchmark Report”. No feed was found, so read it on the site itself.
Too few sampled comments (4) to say how often HN recommends it.?
Why HN links it
HN readers link Tryolabs posts on machine learning and computer vision, including LLMs and computer vision, advice on deep learning conferences, and a collaboration on Google's Temporian package. The comments only link to them.
Summarised by Claude from a sample of 4 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Tryolabs is a specialized AI and machine learning solutions company that helps companies create business value by partnering with them through their AI journey.
Most-linked posts?
- Machine Learning on the Edge Devices: Benchmark Report4 people · 6 mentions · first linked 2019-10-09
- List of Machine Learning/Deep Learning Conferences in 20194 people · 5 mentions · first linked 2017-04-04
- The Definitive Guide to Video Analytics in 20194 people · 4 mentions · first linked 2019-10-29
- How Machine Learning Is Reshaping Price Optimization3 people · 5 mentions · first linked 2018-09-25
- Introduction to Recommender Systems in 20183 people · 4 mentions · first linked 2018-05-10
- Swift: Google’s Bet on Differentiable Programming3 people · 4 mentions · first linked 2020-04-02
- Guide to Visual QA: Datasets, Approaches and Evaluation3 people · 4 mentions · first linked 2018-03-01
- Top 10 Python Libraries of 20193 people · 3 mentions · first linked 2019-12-11
- Top Python libraries of 20163 people · 3 mentions · first linked 2016-12-20
- Major advancements in Deep Learning in 20162 people · 3 mentions · first linked 2016-12-06
What Hacker News says?
What enabled the ML revolution we're witnessing now is mostly the advent of powerful and low-cost GPGPUs and the abundance of training data, as you mentioned. Of course, there are theoretical breakthroughs and interesting new applications [1], but it wasn't the deciding factor. Even ConvNets aren't new. For example, AlexNet is basically a much larger reimplementation of the original Lenet idea [2] from 1998. This is…
Comment linking /blog/2016/12/06/major-advancements-deep-learning-2016/
on “A Basic Introduction to Neural Networks (2007)”Submitted Swift: Google’s Bet on Differentiable Programming as a story · 675 points
HN discussionLooks like it is a collaboration with Tryolabs: https://tryolabs.com/blog/tryolabs-google-introducing-tempor...
Comment linking /blog/tryolabs-google-introducing-temporian
on “Temporian: Google's Python package for time series preprocessing”Submitted Major advancements in Deep Learning in 2016 as a story · 346 points
HN discussionGiven your objectives -- assuming no restrictions during your earn-out period. Go find another early-stage company or two that you can help. Industry conferences should prove a target rich environment to find them > https://tryolabs.com/blog/machine-learning-deep-learning-con...
Comment linking /blog/machine-learning-deep-learning-conferences/
on “Ask HN: PhD or a job for recent 50-something grad”Submitted Top Python libraries of 2016 as a story · 321 points
HN discussionYou would use a VLM (vision language model). The model analyzes the image and outputs text, along with general context, that can drive intelligent decisions. https://tryolabs.com/blog/llms-leveraging-computer-vision
Comment linking /blog/llms-leveraging-computer-vision
on “Qwen3.5 Fine-Tuning Guide – Unsloth Documentation”Submitted Top Python libraries of 2020 you should know about as a story · 278 points
HN discussionSubmitted Object detection: an overview in the age of Deep Learning as a story · 180 points
HN discussionSubmitted Faster R-CNN: Down the rabbit hole of modern object detection as a story · 113 points
HN discussionSubmitted List of Machine Learning/Deep Learning Conferences in 2019 as a story · 22 points
HN discussionSubmitted List of Machine Learning / Deep Learning Conferences in 2018 / 2019 as a story · 14 points
HN discussionSubmitted Swift: Google’s Bet on Differentiable Programming as a story · 13 points
HN discussionSubmitted Faster R-CNN: Down the rabbit hole of modern object detection as a story · 11 points
HN discussionSubmitted Releasing Temporian, a Python library for processing temporal data as a story · 9 points
HN discussionSubmitted Swift: Google’s Bet on Differentiable Programming as a story · 9 points
HN discussionSubmitted Introduction to Recommender Systems in 2018 as a story · 9 points
HN discussionSubmitted Deep Learning for NLP, advancements and trends in 2017 as a story · 9 points
HN discussionSubmitted Building a Chatbot in 2017 – Platforms analysis as a story · 8 points
HN discussionSubmitted Top Python libraries of 2016 as a story · 8 points
HN discussionSubmitted Machine Learning Conferences 2017 as a story · 7 points
HN discussionSubmitted Top Python libraries of 2016 as a story · 7 points
HN discussionSubmitted List of Machine Learning and Deep Learning Conferences in 2020 as a story · 6 points
HN discussionSubmitted Machine Learning on the Edge Devices: Benchmark Report as a story · 6 points
HN discussionSubmitted Deep Learning for NLP, advancements and trends in 2017 as a story · 6 points
HN discussionSubmitted Main takeaways from Khipu 2019, the biggest AI gathering in LATAM as a story · 5 points
HN discussionSubmitted The Definitive Guide to Video Analytics in 2019 as a story · 5 points
HN discussionSubmitted Deep in the dark: enhancing malware traffic detection with deep learning as a story · 5 points
HN discussionSubmitted Top Python libraries of 2017 as a story · 5 points
HN discussionSubmitted Object detection: an overview in the age of Deep Learning as a story · 5 points
HN discussion
