Alternatives

Products that do what 59a34eabe31910abfb06f308 – NeuralHash Collision Demo does

1. 1GC
   Generating Collisions on NeuralHash▲22

   2021 · gist.github.com

2. 2BA
   Byte Arena – Code Your Fighter Bot▲179

   2017 · doc.bytearena.com

3. 3MC
   MazeBattles.com – Race to solve generated mazes▲63

   2018 · mazebattles.com

4. 4IM
   I made a mind map tool meant for large, detailed node hierarchies▲120

   jumproot.com

   2019 · jumproot.com

5. 5
   TensorFire▲99

   Blazing-fast in-browser neural networks

   2017

6. 6DF
   Discohash – Fast Hash▲75

   2020 · github.com

7. 7VB
   Visual Brainfuck Interpreter▲60

   2020 · franklin.dyer.me

8. 8AR
   A reference use of Hashicorp's Raft implementation▲60

   2016 · github.com

9. 9BW
   Brainfuck with threads and assertions▲22

   2015 · github.com

10. 10GA
    Generate a neural hash collision with any two images▲5

    2021 · huggingface.co

11. 11W1
    Watch 14-Byte AI "brains" attempt to solve a 2D maze (Its hard)▲25

    Hey HackerNews, I built this project over the last few weeks as a palette cleanser from a failed game launch. I wanted to learn a bit about AI/Neural-Networks and naively thought I could build a tiny maze-solving AI in a weekend with a 100% solve rate. Well - I couldn't, but I got pretty close. 14 Bytes total model size, and a 96.5% solve rate on unseen mazes. Trained across 46 phases experimenting with different ideas to improve the model (better performance, smaller size). Its quite fun to watch the model attempt to solve the maze, when they fail its usually due to getting stuck in a…

    Jul 2026 · con-dog.github.io

12. 12B0
    BrainTool 0.9.9a – still seeking feedback from this group▲5

    2022 · braintool.org

13. 13T5
    TensorBase: 5x~10000x Faster Drop-In/Accelerator for ClickHouse in Rust▲19

    2021 · tensorbase.io

14. 14SV
    SpaCy v2 alpha. New 15MB neural model, multi-language NER, training API▲8

    2017 · github.com

15. 15TA
    Try Apple’s Neural Hash in the Browser▲5

    2021 · huggingface.co

16. 16PA
    PyPhantom – A Simple PhantomJS API▲9

    2015 · github.com

17. 172S
    2048 – Solving 2048 with AI▲7

    2019 · towardsdatascience.com

18. 18IC
    I created a Neural Network from scratch, in scratch▲7

    I spent the past week implementing a 1 Layer Neural Net and training it on MNIST within the visual scripting language provided by scratch.mit.edu. It was tedious, but ultimately not too difficult. The code runs incredibly slowly, so much so that 64 samples of MNIST takes 5+ hours to train on my machine. There were a lot of little mini challenges that were fun to overcome (implementing softmax was very tricky). If you're interested, I encourage you to try and improve on it! More details in the linked blog post.

    2024 · bell-boy.github.io

19. 19PP
    PJON – Padded Jittering Operative Network▲17

    2017 · pjon.org

20. 20H4
    HashKV-4.6× throughput than key-value separation design [pdf]▲10

    2018 · usenix.org

21. 21BM
    Brain Monitoring with Kafka, OpenTSDB, and Grafana▲15

    2016 · svds.com

22. 22BA
    Breaking a meaningless world record: computing Γ(1/4) to 500b digits▲12

    2020 · andrewsun.com

23. 23AS
    A simplistic brainfuck interpreter in C▲6

    2018 · github.com

24. 24TN
    The No-Code Tool I built for my own AI Experiments▲5

    Hi guys, I’m excited to share an update on ReproModel, an open-source toolbox designed to streamline the testing and reproduction of machine learning models. I, like many of you, have really struggled with benchmarking and comparing models, from missing code, to opaque experiment parameters slowing the process. I decided to take matters into my own hands, and created a mini-toolbox in my free time to streamline the process. The goal is to reduce the time and effort spent on replicating experiments, enabling researchers to focus on innovation rather than setup. Knowing this task is not an…

    2024 · github.com

Ranked by how close each launch is in meaning, then by votes. Refine with a description →