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mendeza
searching PlanetScale…
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31.
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by
mendeza
6y ago
Your comment made me laugh! I can imagine a machine learning model would derive the same meaning.
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mendeza
6y ago
Any advice on breaking into the industry? Would be really neat to work as a quantum research engineer, or software engineer on quantum computers!
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mendeza
6y ago
Love the concept. I have been in need for a tool/service like this for a while. I now resort to creating my own slack workspace and using channels as a way to save links. Using chrome plugins is a crappy alternative. I don’t know if I
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mendeza
6y ago
Great tutorial! Is there a way to extract the bounding box of nodes, and the endpoints of lines? This would be useful to generate ML models to automatically parse graphs!
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mendeza
7y ago
Great work! I wonder if using SDF as a 3d model representation would result in higher resolution model generation (rather than voxels), some recent work in that area here: https://github.com/marian42/shapegan Adversari
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mendeza
7y ago
Reading PDFs as html would Be nice, but as a ML engineer having high quality conversion would be very useful for large scale analysis and information extraction of pdf documents!
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mendeza
7y ago
How did you teach yourself structuring large projects and test driven development? Did you have any senior engineers mentor you when you just started, or did you just force yourself to pick important skills in software development. I ask be
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mendeza
7y ago
+1 for A Baltimore based AI company! I have to drive to Northern VA from Baltimore in order to do my AI work!
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Life of Pie: How AI Delivers at Domino’s
(blogs.nvidia.com)
1 points
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mendeza
7y ago
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mendeza
7y ago
I use slack to manage bookmarks. I was using Toby Chrome plugin, but after 1000 bookmarks, its search is really slow. Slack is awesome for personal use because you can easily search for links you written, and organize with new channels. Dis
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mendeza
7y ago
I think an exciting area that can innovate the lack of data is domain randomization, and synthetic data generation. Slides from Josh Tobin is a great introduction: http://josh-tobin.com/assets/pdf/randomization_and
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mendeza
7y ago
Reading all these comments about others having bad experiences with Tesseract makes me think there is a market for a robust, better alternative to Tesseract.
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mendeza
7y ago
You should visit indiehackers.com and see if anyone has advice on this there.
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mendeza
7y ago
I think you have to fiddle with the internal settings of the OCR package you are using to get good results. For tesseract and pytesseract, there is a whole article on improving the quality: https://github.com/tesseract-ocr&#
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mendeza
7y ago
I am really excited about this possibility! I am imaging having AI augment our ability to read and conduct reading comprehension, would be amazing for kids who may be weak in certain areas to get the feedback and help they need. Thanks for
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mendeza
7y ago
Would be great if there could be niche workouts of Machine Learning projects. I can see a list of machine learning projects that aspiring ML practitioners can do to build strong skills and a portfolio companies would be interested in.
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mendeza
7y ago
How do you all monitor concept drift or monitoring to detect when its time to deploy a fresh model?
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mendeza
7y ago
I actually checked out your github repo and saw your framework that enables integration of trained models into your tool for active learning. Looks awesome! https://github.com/heartexlabs/pyheartex
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mendeza
7y ago
It would be great if your tool integrates popular object detection frameworks such as TF Object Detection API. Would save people a lot of headache installing and configuring in order to begin finetuning
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mendeza
7y ago
This is a good idea! TF Object Detection framework takes a lot of effort to use on simple ideas, so frameworks that enable more abstraction the better!
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mendeza
7y ago
I would check out template matching or using OpenCV feature extractors such as SIFT, SURF, ORB Template Matching scans an image with your template, smaller image and finds the location with highest cross correlation: https://ope
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mendeza
7y ago
Also, what is a hard but an important question to figure out is how well are these models are preforming, and will they perform well to your problem. This paper gives a lot of insight into how image size and other factors really impact perf
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mendeza
7y ago
I work a lot with object detection at my current role. Would be cool to add Detectron 2, seems that this library that has some of the state of the art(SOTA) models in object detection. https://github.com/facebookresearch&#x
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mendeza
7y ago
I am taking CS 236 (Deep Generative Models) at Stanford and this course really helped me a lot in reviewing the math I needed for the class. This is because the chapters focus on the concepts and ideas you should know, so you don't hav
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mendeza
7y ago
This one is my favorite: https://sdnotes.com/facebook
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mendeza
7y ago
I found the DS100 course textbook and the author describes the phenomenon here: https://www.textbook.ds100.org/ch/02/design_srs_vs_big_data.... This is insightful, but how does one deal with determing if your data
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mendeza
7y ago
My go-to when I started in Deep Learning is Stanford's CS 231n course http://cs231n.github.io/ , the lecture notes are amazing. It was instrumental when I first dove deep into Deep Learning and helped me understand all
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mendeza
7y ago
If you have trouble finding full time SWE roles after all your numerous jobs, maybe you are lacking critical skills employees want to see, or don't have personal projects that showcase technical depth. Are you applying for junior dev r
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mendeza
7y ago
This is nice, I can see this being used for computer vision researchers and practitioners to train CNNs. Have you thought of implementing a reverse image search engine? That would be a great feature or project to work on as it can help user
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mendeza
7y ago
This recipe results in large amounts of time spent before any results occur (depending on the task you are trying to solve). Classification is an easy task to use this recipe, but when you venture into object detection or pose estimation, d
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