ezkl
ezkl is an engine for doing inference for deep learning models and other computational graphs in a zk-snark (ZKML). Use it from Python, Javascript, or the command line. (by zkonduit)
plaidml
PlaidML is a framework for making deep learning work everywhere. (by plaidml)
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ezkl | plaidml | |
---|---|---|
7 | 14 | |
829 | 4,575 | |
7.0% | 0.1% | |
9.6 | 5.4 | |
3 days ago | 9 months ago | |
Rust | C++ | |
Apache License 2.0 | Apache License 2.0 |
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.
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.
ezkl
Posts with mentions or reviews of ezkl.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-10-01.
- Show HN: Turn ML/AI models into zero-knowledge proofs
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Decentralized Artificial Intelligence
One can cryptographically prove the correct inference of a small AI model now with https://github.com/zkonduit/ezkl (our open-source package).
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PoisonGPT: We hid a lobotomized LLM on Hugging Face to spread fake news
Our project proves AI model execution with cryptography, but without any trusted hardware (using zero-knowledge proofs): https://github.com/zkonduit/ezkl
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Reverse Engineering TikTok's VM Obfuscation (Part 1)
What about sth like this https://github.com/zkonduit/ezkl ?
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We’re Brian Retford, Jason Morton, and Ryan Cao, various researchers and developers in the ZKML (zero knowledge machine learning) space and we’ve been asked by r/privacy mods to help explain and answer questions about ZKML and why it’s important for the future of data privacy! AMA
u/zkonduit - Jason Morton CEO @ Zkonduit is building zkml developer tools such as ezkl that make it easy to turn computational graphs such as neural nets into zero-knowledge proofs. He has held a tenured professorship of Mathematics and Statistics, founded and sold a regulated Ethereum-based financial intermediary, and started turning deep learning models into systems of polynomial equations in 2008.
- GitHub - zkonduit/ezkl
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What's the Deal with Zkapps?
Examples include the various zkEVM projects, risc0, and slightly more limited stuff like our effort to compile PyTorch/ONNX to a zk circuit (https://github.com/zkonduit/ezkl).
Speed and memory usage is improving quickly.
plaidml
Posts with mentions or reviews of plaidml.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-12-18.
-
We’re Brian Retford, Jason Morton, and Ryan Cao, various researchers and developers in the ZKML (zero knowledge machine learning) space and we’ve been asked by r/privacy mods to help explain and answer questions about ZKML and why it’s important for the future of data privacy! AMA
basically agree with all of this, however I do want to highlight that there is no 'ZKML protocol plan' - the panel here are all involved in quite different projects and interested in ZKML for a variety of reasons. As one of the authors of https://github.com/plaidml/plaidml I'm not expecting any kind of standard protocol to evolve for several years; the group behind the AMA though is optimistic about the potential of ZKML and this AMA is part of the start of developing useful protocols.
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Whisper – open source speech recognition by OpenAI
It understands my Swedish attempts at English really well with the medium.en model. (Although, it gives me a funny warning: `UserWarning: medium.en is an English-only model but receipted 'English'; using English instead.`. I guess it doesn't want to be told to use English when that's all it can do.)
However, it runs very slowly. It uses the CPU on my macbook, presumably because it hasn't got a NVidia card.
Googling about that I found [plaidML](https://github.com/plaidml/plaidml) which is a project promising to run ML on many different gpu architectures. Does anyone know whether it is possible to plug them together somehow? I am not an ML researcher, and don't quite understand anything about the technical details of the domain, but I can understand and write python code in domains that I do understand, so I could do some glue work if required.
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Cloud Based training for my model?
Have you tried PlaidML https://github.com/plaidml/plaidml
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GPU computing on Apple Silicon
This doesn't answer your question, but it would be cool if we had something based on MLIR for GPU compute. From what I've read, it closes the gap between NVIDIA and other GPU vendors a lot more than pure compute shaders. e.g. ONNX-MLIR, PlaidML, and IREE.
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Image processing library? Also GUI development recommendations?
There is a library called PlaidML which is supposed to support Keras on a wide variety of GPUs, including the Iris. But it doesn't. I get the issue reported as Issue #168, which was first reported in 2018 and is still open. That's what I mean by not well supported.
- Question about the viability of AMD GPUs
- Ask HN: Will there ever be a cross platform GPU interface?
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[P] DLPrimitives - wondering about best development direction
Not really: https://github.com/plaidml/plaidml/commits/plaidml-v1
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Adventures in homelab AI: Putting the torch to an R710
There are reports on github of plaidML conking out on older CPUs with a similar "illegal instruction err.
- Machine learning on a new amd radeon gpu?