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TrenTorch
Learn Frontier ML by building it yourself.
357 free machine learning practice problems. Build PyTorch from scratch in Python and run the tests in your browser: classical ML, deep learning, transformers, inference, and more.
Hey Product Hunt! I'm Rocky, one of the people behind TrenTorch.
I wanted to understand what actually happens inside loss.backward() instead of just importing it. So we built a tiny PyTorch-style framework from scratch in plain NumPy, then turned it into a course you can do in your browser with nothing to install.
What you can do today:
- Write the pieces yourself (tensors, autograd, CNNs, transformers) in a built-in code editor
- Track your progress across the curriculum
- Try the Problem of the Day if you want one small thing to build each day
- Or clone the GitHub repo and run the same path from a CLI
It's still growing. The curriculum on the site is being written, so some topics have more questions than others, and I'd rather tell you that up front.
I'd love your help with one question: what's the one ML concept you've used but never really understood under the hood? Tell me and I'll prioritise it.
Feedback, bugs and ideas are all welcome here, or at [email protected].
About TrenTorch on Product Hunt
“Learn Frontier ML by building it yourself. ”
TrenTorch was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #53 on the daily leaderboard. 357 free machine learning practice problems. Build PyTorch from scratch in Python and run the tests in your browser: classical ML, deep learning, transformers, inference, and more.
On the analytics side, TrenTorch competes within Education, Artificial Intelligence and GitHub — topics that collectively have 599.7k followers on Product Hunt. The dashboard above tracks how TrenTorch performed against the three products that launched closest to it on the same day.
Who hunted TrenTorch?
TrenTorch was hunted by Rocky. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of TrenTorch including community comment highlights and product details, visit the product overview.
Rocky