scicloj.ml
geni-performance-benchmark
| scicloj.ml | geni-performance-benchmark | |
|---|---|---|
| 5 | 3 | |
| 199 | 27 | |
| 2.5% | - | |
| 4.6 | 4.1 | |
| 3 months ago | over 3 years ago | |
| Clojure | Clojure | |
| Eclipse Public License 2.0 | Apache License 2.0 |
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.
scicloj.ml
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Ml-study 19: practical machine learning with scicloj.ml
This weekend at #ml-study we will have learning sessions about machine learning with Carsten Behring's scicloj.ml library and some other parts of the emerging data science stack.
- LLVM!
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Announcement of first beta version of new Clojure machine learning library, scicloj.ml
In here you find links to the draft user guides, partially in form of tutorials, partially of reference guides. https://github.com/scicloj/scicloj.ml
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Should I use clojure or python to learn machine learning?
In the last couple of months, the Clojure story for ML has been reorganizing and evolving, mainly around the amazing work of Carsten Behring. This is the current draft, where most activity takes place: https://github.com/scicloj/scicloj.ml It is not stable yet but is worth learning imho. I think the experience with scicloj.ml is very refreshing, comparing to typical Python ML practices.
geni-performance-benchmark
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PyTorch: Where we are headed and why it looks a lot like Julia (but not exactly)
Clojure has a high performance data frame library that leverages new JVM vector API and high quality apache arrow protocol.
Talk related - https://youtu.be/5mUGu4RlwKE
https://github.com/zero-one-group/geni-performance-benchmark
- LLVM!
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Clojure High Performance Data Processing System
How often have you seen a Clojure system that soundly beats C, Julia, Python, Spark, and R systems in a data processing benchmark?
What are some alternatives?
deep-diamond - A fast Clojure Tensor & Deep Learning library
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
tech.ml.dataset - A Clojure high performance data processing system
HTTP.jl - HTTP for Julia
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
sklearn-clj - Plugin to use sklearn models in metamorph.ml
scicloj.ml.xgboost - A xgboost plugin for scicloj.ml
functorch - functorch is JAX-like composable function transforms for PyTorch.
scicloj.ml.smile - A Smile plugin for scicloj.ml
TailRec.jl - A tail recursion optimization macro for julia.