STstormtroper1721·Jul 29, 2020Submission
A Fast, Pytorch-style Tensor+Autograd library written in Rust
9 points · Open discussionbilal2vec
L2
Rust2019–2020
bilal2vec / L2
L2
l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust
2Distinct people
3Mentions
0Explicit recommenders
197GitHub stars
What to know before exploring
What it is
l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 12:54:37 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by month3 dated mentions
Observed mentions: 2019-11-16 19:37:37 UTC to 2020-07-29 01:00:51 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Nov 2019 | 2019-11-01 00:00:00 UTC | 2019-12-01 00:00:00 UTC | 2 | 1 | 1 |
| Dec 2019 | 2019-12-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 0 | 0 | 0 |
| Jan 2020 | 2020-01-01 00:00:00 UTC | 2020-02-01 00:00:00 UTC | 0 | 0 | 0 |
| Feb 2020 | 2020-02-01 00:00:00 UTC | 2020-03-01 00:00:00 UTC | 0 | 0 | 0 |
| Mar 2020 | 2020-03-01 00:00:00 UTC | 2020-04-01 00:00:00 UTC | 0 | 0 | 0 |
| Apr 2020 | 2020-04-01 00:00:00 UTC | 2020-05-01 00:00:00 UTC | 0 | 0 | 0 |
| May 2020 | 2020-05-01 00:00:00 UTC | 2020-06-01 00:00:00 UTC | 0 | 0 | 0 |
| Jun 2020 | 2020-06-01 00:00:00 UTC | 2020-07-01 00:00:00 UTC | 0 | 0 | 0 |
| Jul 2020 | 2020-07-01 00:00:00 UTC | 2020-08-01 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
3 sourcesHi, I made this over the summer as a way to learn more about C++ and lower-level machine learning concepts. I wanted to see how much I could build myself, without relying on other libraries to handle things like creating multidimensional arrays.
The library contains a multidimensional array class, Tensor, with support for strided arrays, numpy-style array slicing, broadcasting, and most major math operations (including matrix multiplication!). On top of this, the Parameter, Layer, Sequential, Loss, Optimizer, and Trainer classes allow for running high-level machine learning experiments without worrying about the low-level implementations.
Version 1 of this library focuses only supports a cpu backend at the moment since I'm not familiar enough with c++ to start working with CUDA and cudnn. It also primarily uses pass-by-value to reduce com
Read the rest
plexity at the result of reduced efficiency. Version 2 of the library will focus on making the Tensor class more efficient. Currently, only the Linear and Sigmoid layers, the MSE loss, and the SGD optimizer have been implemented, but I will add more layers and modules in V2.
Take a look at it on GitHub:
https://github.com/bkkaggle/L2/
Or on Product Hunt: https://producthunt.com/posts/l2
Show HN: A machine learning library built from scratch using only the C++ stdlib
4 points · Open discussion