Alternatives
Products that do what I am a high school student and I did research on 3D adversarial attacks does
- 1MA
2017 · play.google.com
- 2IM
Here's a "behind-the-scenes" look at my development of a cool sensor during my PhD (electrical engineering). This sensor is only about 1/3 of my total research for my degree and took about a year. I've been on HN for a while now and I've seen my fair share of posts about the woes of pursuing a PhD. Now that I'm done with mine I wanna share some anecdotal evidence that doing a PhD can actually be enjoyable (not necessarily easy) and also be doable in 3 years. When I started I knew I didn't want to work on something that would never leave the lab or languish in a dissertation PDF no one…
2024 · paulbupejr.com
- 3EA
2019 · github.com
- 4IB
2024 · graphgame.sabrina.dev
- 5IT
2018 · otoro.net
- 6IB
2021 · github.com
- 7IT
2024 · albertotaiuti.com
- 8AS
2020 · github.com
- 9IW
2021 · github.com
- 10IM
2021 · hnchan.netlify.app
- 11IW
2019 · manning.com
- 12IB
2025 · votelyquiz.juleslemee.com
- 13IB
2024 · sandboxsql.com
- 14OS
2013 · github.com
- 15TB
2017 · github.com
- 16IB
I’ve spent the last few months building a deep learning engine completely from scratch in Python (using only math and random). What started as a basic linear algebra calculator project grew into a symbolic tensor system with autodiff, custom matrix ops, attention mechanisms, LayerNorm, GELU, and even a text generation demo trained on the Brown corpus. I'm still an undergrad, so my main goal is to deeply understand how deep learning actually works under the hood - gradients, attention, backpropagation, optimizers - by building it step-by-step with full visibility into everything, and without…
2025 · github.com
- 17IM
I’m 15 and self-taught. I'm learning ML from scratch because I want to really understand how things work. I’m not into frameworks. I prefer math, logic, and C++. I implemented a basic MLP that supports different activation and loss functions. It was trained via mini-batch gradient descent. I wrote it from scratch, using no external libraries except Eigen (for linear algebra). I learned how a Neural Network learns (all the math) -- how the forward pass works, and how learning via backpropagation works. How to convert all that math into code. I’ll write a blog soon explaining how MLPs work in…
2025 · github.com
- 18MH
2022 · polistat.mbhs.edu
- 19IC
I saw this app youlearn.ai on YC and thought of building it. They are claiming to have 1M+ users with just one feature which is to convert your learning material into summaries, quizzes etc. I gave this a shot and cloned almost most of the features in just 9+ hours of continous vibe coding (with 20% manual though). Now I'm selling this on mvp marketplace. Might probably open source it in future or give it free.
2025 · ai-tutor.mvpwrappers.com
- 20HI
2025 · senioraugur.substack.com
- 21IM
2024 · search.sciphi.ai
- 22IM
2025 · elphame.com
- 23IW
2017 · github.com
- 24IB
I was struggling to understand neuroscience and the word associations between technical terms and where the locations are (anatomically) And quite some of my neuroscience friends are loving it.
Dec 2025 · neuroglance.labs.memebu.com
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