neural-network-from-scratch VS minesweeper

Compare neural-network-from-scratch vs minesweeper and see what are their differences.

neural-network-from-scratch

A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs (by Ameobea)

minesweeper

Minesweeper game developed with Rust, WebAssembly (Wasm), and Canvas (by KarthikNedunchezhiyan)
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neural-network-from-scratch minesweeper
3 3
114 21
- -
0.0 2.2
about 2 years ago 8 months ago
Rust Rust
- -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

neural-network-from-scratch

Posts with mentions or reviews of neural-network-from-scratch. We have used some of these posts to build our list of alternatives and similar projects.
  • Examine individual neurons of a small neural network in the browser
    1 project | news.ycombinator.com | 10 May 2023
  • Language models can explain neurons in language models
    1 project | news.ycombinator.com | 9 May 2023
    I built a toy neural network that runs in the browser[1] to model 2D functions with the goal of doing something similar to this research (in a much more limited manner, ofc). Since the input space is so much more limited than language models or similar, it's possible to examine the outputs for each neuron for all possible inputs, and in a continuous manner.

    In some cases, you can clearly see neurons that specialize to different areas of the function being modeled, like this one: https://i.ameo.link/b0p.png

    This OpenAI research seems to be feeding lots of varied input text into the models they're examining and keeping track of the activations of different neurons along the way. Another method I remember seeing used in the past involves using an optimizer to generate inputs that maximally activate particular neurons in vision models[2].

    I'm sure that's much more difficult or even impossible for transformers which operate on sequences of tokens/embeddings rather than single static input vectors, but maybe there's a way to generate input embeddings and then use some method to convert them back into tokens.

    [1] https://nn.ameo.dev/

    [2] https://www.tensorflow.org/tutorials/generative/deepdream

  • Browser-based neural network sandbox built with Rust + WebAssembly
    1 project | /r/rust | 2 Apr 2022
    Full source code is on Github: https://github.com/ameobea/neural-network-from-scratch

minesweeper

Posts with mentions or reviews of minesweeper. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing neural-network-from-scratch and minesweeper you can also consider the following projects:

shorelark - Simulation of life & evolution

canvas - High performance skia binding to Node.js. Zero system dependencies and pure npm packages without any postinstall scripts nor node-gyp.

bhtsne - Parallel Barnes-Hut t-SNE implementation written in Rust.

Seed - A Rust framework for creating web apps

wasm-pdf - Generate PDF files with JavaScript and WASM (WebAssembly)

wasm-learning - Building Rust functions for Node.js to take advantage of Rust's performance, WebAssembly's security and portability, and JavaScript's ease-of-use. Demo code and recipes.

percy - Build frontend browser apps with Rust + WebAssembly. Supports server side rendering.

bitque - A simplified Jira clone built with seed.rs and actix

tsify - A library for generating TypeScript definitions from rust code.