Neuronika Alternatives
Similar projects and alternatives to neuronika
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rust-ndarray
ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
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Scout APM
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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Ockam
End-to-end encryption and mutual authentication for distributed applications.
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sciter-js-sdk
Sciter.JS - Sciter but with QuickJS on board instead of my TIScript
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Rust-Bio
This library provides implementations of many algorithms and data structures that are useful for bioinformatics. All provided implementations are rigorously tested via continuous integration.
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Reviews and mentions
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bhtsne 0.5.0, now 5.6x faster on a 4 core machine, plus a summary of my Rust journey (so far)
After reading most of the book, I wanted to get my hands dirty. My initial idea was to build a small machine learning framework but I deemed it to be too difficult if not impossible for me at the time. (Now, neuronika would have something to say). When gathering the bibliography for my thesis, I recalled to have stumbled upon a particular algorithm, t-SNE, whom I liked very much. I found the idea behind it to be very clever and elegant (t-SNE it's still one of my favorite algorithms, together with backprop and SOM, I find manifold learning fascinating in general). "So be it", I said, and I began writing a mess of a code, that was basically a translation of the C++ implementation. Boy was it bad.
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What are you using Rust for?
me and a colleague of mine are developing neuronika
Nobody has the audacity to really push forward this statement, at least not in scientific computing, that I know of. Personally, the lack of somewhat stable GPU computing and some key features of Rust, which are still unstable are slowing the development of neuronika.
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How can one make Rust excel in the Sciences
neuronika provides some paddings and convolutions, as well as auto differentiation an other neural building blocks.
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What's everyone working on this week (37/2021)?
Improving the convolution code on neuronika.
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Are there any good gpu linear algebra crates?
Interesting! I'm also working on an autograd framework based on ndarray, it would be cool, if you are interested or have time, to try and experiment with GPUs!
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I wanted to share my experience of Rust as a deep learning researcher
You can take a look at neuronika which is a fairly young machine pytorch-style learning framework in pure Rust. It's current being developed by a collegue of mine and me.
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Announcing neuronika 0.1.0, a deep learning framework in Rust
Neuronika was developed by a colleague of mine and me for a university project. ( we are master's students in CS). The framework offers auto-differentiation and dynamic neural networks, pretty much like Pytorch does.
- Neuronika: A machine learning framework written in rust
Stats
neuronika/neuronika is an open source project licensed under Mozilla Public License 2.0 which is an OSI approved license.
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