neuronika
conan-center-index
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neuronika | conan-center-index | |
---|---|---|
19 | 41 | |
1,033 | 892 | |
1.3% | 2.7% | |
0.0 | 10.0 | |
over 1 year ago | 3 days ago | |
Rust | Python | |
Apache License 2.0 | MIT License |
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.
neuronika
- This year I tried solving AoC using Rust, here are my impressions coming from Python!
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Deep Learning in Rust: Burn 0.4.0 released and plans for 2023
Also perhaps comparing to Neuronika.
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Making a better Tensorflow thanks to strong typing
how does it compare with https://github.com/spearow/juice, https://github.com/neuronika/neuronika and https://github.com/spearow/juice?
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[D] To what extent can Rust be used for Machine Learning?
Check where and how this struct is used. https://github.com/neuronika/neuronika/blob/variable-rework/neuronika-variable/src/history.rs
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What do I need for an ML/DL based scripting language in Rust?
Also you can take a look at neuronika.
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ML in Rust
There is also https://github.com/neuronika/neuronika
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Enzyme: Towards state-of-the-art AutoDiff in Rust
I have a question: as the maintainer of [neuronika](https://github.com/neuronika/neuronika), a crate that offers dynamic neural network and auto-differentiation with dynamic graphs, I'm looking at a future possible feature for such framework consisting in the possibility of compiling models, getting thus rid of the "dynamic" part, which is not always needed. This would speed the inference and training times quite a bit.
- Any role that Rust could have in the Data world (Big Data, Data Science, Machine learning, etc.)?
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What sort of mature, open-source libraries do you feel Rust should have but currently lacks?
If you like autograd you will love neuronika
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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.
conan-center-index
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The xz attack shell script
Conan is a package manager for C/C++. See: https://conan.io/.
The way it works is that you can provide "recipes", which are Python scripts, that automate the process of collecting source code (usually from a remote Git repository, or a remote source tarball), patching it, making its dependencies and transitive dependencies available, building for specific platform and architecture (via any number of build systems), then packaging up and serving binaries. There's a lot of complexity involved.
Here are the two recipes I mentioned:
libcurl: https://github.com/conan-io/conan-center-index/blob/master/r...
OpenSSL v3: https://github.com/conan-io/conan-center-index/blob/master/r...
Now, for the sake of this thread I want to highlight three things here:
- Conan recipes are usually made by people unaffiliated with the libraries they're packaging;
- The recipes are fully Turing-complete, do a lot of work, have their own bugs - therefore they should really be treated as software comonents themselves, for the purpose of OSS clearing/supply chain verification, except as far as I know, nobody does it;
- The recipes can, and do, patch source code and build scripts. There's supporting infrastruture for this built into Conan, and of course one can also do it by brute-force search and replace. See e.g. ZLib recipe that does it both at the same time:
https://github.com/conan-io/conan-center-index/blob/7b0ac710... -- `_patch_sources` does both direct search-and-replace in source files, and applies the patches from https://github.com/conan-io/conan-center-index/tree/master/r....
Now, good luck keeping track of what's going on there.
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Mokara.io Open Beta (Pre-Built C++ Third-Party Libraries)
Just checkout ConanCenter https://conan.io/center it's free.
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Looking for projects to contribute to
https://github.com/conan-io/conan-center-index there's 200+ PR that need reviewing :) we add community reviewers fairly often
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Conan package manager completely broken after 2.0 release
As for ffmpeg it was last updated 10 days ago https://github.com/conan-io/conan-center-index/commits/master/recipes/ffmpeg/all :)
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PcapPlusPlus in Conan 2.0
This is a more complicated recipe https://github.com/conan-io/conan-center-index/blob/master/recipes/pcapplusplus/all/conanfile.py
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OpenSSL 3.1 Released
You can use the Conan package manager with prebuilt binaries/libraries
https://conan.io/center
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Compiling CrowCPP on Windows and about to kms
It's available in Conan too https://github.com/conan-io/conan-center-index/tree/master/recipes/crowcpp-crow though it's not well maintained so no promises if it's working
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Is there a way to make sure that my friend on windows can compile my c++ project that i made on linux?
You need something like https://conan.io/center/ to install the dependencies. You're lucky because it works well with CMake.
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Conan 2.0, the new version of the open-source C and C++ package manager
This post on github contains a list of packages supported by conan 2.0, its also kept up to date https://github.com/conan-io/conan-center-index/discussions/16196
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First piece of complex CMake code. Need good roasting to help improeve.
Use a package manager: https://vcpkg.link/ https://conan.io/center/
What are some alternatives?
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
Vcpkg - C++ Library Manager for Windows, Linux, and MacOS
clblast-rs - clblast bindings for rust
libpq - build2 package for PostgreSQL C client library
autograph - Machine Learning Library for Rust
VulkanExamples - Examples and demos for the Vulkan C++ API
are-we-learning-yet - How ready is Rust for Machine Learning?
cmake-init-vcpkg-example - cmake-init generated executable project with vcpkg integration
justrunmydebugger - just run my debugger. see package here: https://build.opensuse.org/package/show/home:ila.embsys:justrunmydebugger/justrunmydebugger
C++ REST SDK - The C++ REST SDK is a Microsoft project for cloud-based client-server communication in native code using a modern asynchronous C++ API design. This project aims to help C++ developers connect to and interact with services.
tractjs - Run ONNX and TensorFlow inference in the browser.
std-simd - std::experimental::simd for GCC [ISO/IEC TS 19570:2018]