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Top 15 Ndarray Open-Source Projects
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burn
Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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Arraymancer
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
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tensor
package tensor provides efficient and generic n-dimensional arrays in Go that are useful for machine learning and deep learning purposes
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Project mention: 3 years of fulltime Rust game development, and why we're leaving Rust behind | news.ycombinator.com | 2024-04-26You can use libtorch directly via `tch-rs`, and at present I'm porting over to Burn (see https://burn.dev) which appears incredibly promising. My impression is it's in a good place, if of course not close to the ecosystem of Python/C++. At very least I've gotten my nn models training and running without too much difficulty. (I'm moving to Burn for the thread safety - their `Tensor` impl is `Sync` - libtorch doesn't have such a guarantee.)
Burn has Candle as one of its backends, which I understand is also quite popular.
BTW: you might want to add support for typed arrays.
See: https://github.com/xenova/transformers.js/blob/8804c36591d11...
This is really old, but added as part of the shape of the vector as well: https://github.com/nicolaspanel/numjs/blob/master/src/dtypes...
It is a small DSL written using macros at https://github.com/mratsim/Arraymancer/blob/master/src/array....
Nim has pretty great meta-programming capabilities and arraymancer employs some cool features like emitting cuda-kernels on the fly using standard templates depending on backend !
Project mention: Owl project (OCaml scientific computing) formally concluded | news.ycombinator.com | 2024-02-19
Rust still has some key pieces missing, but looks promising, see: https://github.com/wiseaidev/rust-data-analysis
F# has a very decent data community: https://datascienceinfsharp.com
And obviously Julia is also something to consider.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Ndarray related posts
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Owl project (OCaml scientific computing) formally concluded
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PDL 2.083 released and updates from a year of PDLing
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The matrix operation library in Swift
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Dealing with compiler warnings in XS modules built with clang 12
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GitHub - AitanG/numpy-string-indexed: NumPy extension that allows arrays to be indexed using labels
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Julia 1.6 addresses latency issues
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JavaScript for Data Science
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A note from our sponsor - SaaSHub
www.saashub.com | 17 May 2024
Index
What are some of the best open-source Ndarray projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | burn | 7,223 |
| 2 | numjs | 2,352 |
| 3 | Arraymancer | 1,312 |
| 4 | owl | 1,184 |
| 5 | rust-numpy | 1,025 |
| 6 | multik | 626 |
| 7 | tensor | 341 |
| 8 | rust-data-analysis | 290 |
| 9 | vtl | 140 |
| 10 | Matft | 120 |
| 11 | pdl | 86 |
| 12 | orka | 57 |
| 13 | numphp | 54 |
| 14 | argminmax | 52 |
| 15 | numpy-string-indexed | 2 |
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