Alternatives

Products that do what Neural-hash-collider – Find target hash collisions for NeuralHash does

15N
59a34eabe31910abfb06f308 – NeuralHash Collision Demo▲339
2021 · thishashcollisionisnotporn.com
2S2
SHA-256 explained step-by-step visually▲1,241
2022 · sha256algorithm.com
3GC
Generating Collisions on NeuralHash▲22
2021 · gist.github.com
4
Lobe▲1,235
Visual tool for building custom deep learning models
2018 · github.com
5
Floyd▲466
Heroku for deep learning
2017
6
Intelli Hash▲166
Open source image recognition to fetch hashtags from images
2018
7GA
Generate a neural hash collision with any two images▲5
2021 · huggingface.co
8
HASH▲127
Build complex simulations quickly with modular components
2020
9DF
Discohash – Fast Hash▲75
2020 · github.com
10
Comet.ml▲208
Automatically track machine learning code and experiments
2018
11
Intersect Labs▲267
Machine learning in 3 clicks
2019
12TA
Try Apple’s Neural Hash in the Browser▲5
2021 · huggingface.co
13CA
Chonky – a neural approach for text semantic chunking▲169
TLDR: I’ve made a transformer model and a wrapper library that segments text into meaningful semantic chunks. The current text splitting approaches rely on heuristics (although one can use neural embedder to group semantically related sentences). I propose a fully neural approach to semantic chunking. I took the base distilbert model and trained it on a bookcorpus to split concatenated text paragraphs into original paragraphs. Basically it’s a token classification task. Model fine-tuning took day and a half on a 2x1080ti. The library could be used as a text splitter module in a RAG system or…
2025 · github.com
14AH
A hash array-mapped trie implementation in C▲171
Long-simmering side project that is finally ready to see the light. HAMTs are a cool persistent data structure and implementing one has been a lot of fun. Beyond the code, there is likely some value in the extensive and largely complete implementation docs; basic benchmarks are linked in the README, too. Kind of aiming to be "the libavl for HAMTs". That is obviously a high and aspirational bar but a distinct possibility if it stirs up a little interest and/or contribution. Anyways, it's time for this to go out, collect feedback and maybe even some use outside of toy projects. Let me…
2023 · github.com
15
IntelliBrush▲82
Annotate complex data 10x faster with AI
2022
16BA
Beamsplitter – a new possibly universal hash▲69
2020 · github.com
17
Hashgrid — Neural Information Exchange▲13
Agents are your neurons. We create the synapses.
Feb 2026
18CA
ChunkHound, a local-first tool for understanding large codebases▲114
ChunkHound’s goal is simple: local-first codebase intelligence that helps you pull deep, core-dev-level insights on demand, generate always-up-to-date docs, and scale from small repos to enterprise monorepos — while staying free + open source and provider-agnostic (VoyageAI / OpenAI / Qwen3, Anthropic / OpenAI / Gemini / Grok, and more). I’d love your feedback — and if you have, thank you for being part of the journey!
Jan 2026 · github.com
19AS
A Simple GPU Hash Table▲119
2020 · nosferalatu.com
20
Weights & Biases▲110
Developer tools for deep learning & machine learning
2019
21
Paperspace for Machine Learning▲152
A Linux desktop in the cloud built for Machine Learning
2016
22
Keys and Caches▲66
Vibe profile your ML models to get max performance.
2025
23PH
Perceptual hashing tools for detecting child sexual abuse material▲92
2019 · github.com
24
Datature Portal▲100
No-code webapp to visualize your deep neural nets
2021

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