paintbrush
Tricycle
| paintbrush | Tricycle | |
|---|---|---|
| 1 | 2 | |
| 0 | 51 | |
| - | - | |
| 5.9 | 9.1 | |
| 2 months ago | 5 days ago | |
| TypeScript | Python | |
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
paintbrush
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Ask HN: Who wants to be hired? (May 2024)
Location: Berkeley, CA, USA
Remote: Yes or Hybrid
Willing to relocate: No
Technologies: JavaScript/TypeScript, Python, React, React Three Fiber, PyTorch, TensorFlow, PySpark, Haskell
Resume: https://newtrino.ink/Resume.pdf
LinkedIn: https://www.linkedin.com/in/nishanth-jayram/
Email: [email protected]
I'm a software engineer with 2 years of experience working in ML and front-end development. I'm looking for a front-end or full-stack role, potentially in a position where I can also leverage my experience in DS/ML.
In my current job, I'm working on a recommender system for matching cardholders with personalized merchant reward campaigns. I've also worked on transaction forecasting, i.e. predicting consumer spend at merchants based on factors such as their historical transactions, seasonal trends, and geolocation. I've also built internal web dashboards to aggregate and display performance metrics from our models.
I also really enjoy working on front-end personal projects. I built Karektar, a web app for designing exportable custom bitmap fonts, which was actually featured on Hacker News (https://news.ycombinator.com/item?id=37629119). I'm also currently working on a faithful recreation of PC Paintbrush -- the Windows 3.0 version of Paint -- on the web (https://github.com/nishanthjayram/paintbrush).
Tricycle
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Ask HN: Who wants to be hired? (May 2024)
Email: [email protected]
I'm a Senior Machine Learning Engineer looking for my next challenge. I have a strong background in Deep Learning: I built a state of the art CV model for cancer detection and I'm the author of the Tricycle (https://github.com/bclarkson-code/Tricycle) deep learning framework. I built it from scratch (nothing but python, numpy and a bit of cuda) and recently used it to successfully build and train a small language model.
I'm looking for an AI Engineer role in london
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LLM from Scratch: Automatic Differentiation
As a chronic premature optimizer my first reaction was, "Is this even possible in vanilla python???" Obviously it's possible, but can you train an LLM before the heat death of the universe? A perceptron, sure, of course. A deep learning model, plausible if it's not too deep. But a large language model? I.e. the kind of LLM necessary for "from vanilla python to functional coding assistant."
But obviously the author already thought of that. The source repo has a great motto: "It don't go fast but it do be goin'" [1]
I love the idea of the project and I'm curious to see what the endgame runtime will be.
[1] https://github.com/bclarkson-code/Tricycle