neanderthal
deep-diamond
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neanderthal | deep-diamond | |
---|---|---|
5 | 16 | |
1,043 | 412 | |
0.2% | 0.0% | |
7.0 | 7.6 | |
about 1 month ago | 2 months ago | |
Clojure | Clojure | |
Eclipse Public License 1.0 | Eclipse Public License 1.0 |
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.
neanderthal
- AI’s compute fragmentation: what matrix multiplication teaches us
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Having trouble setting up Neanderthal.
There is the official Hello World https://github.com/uncomplicate/neanderthal/tree/master/examples/hello-world
- Da li u Srbiji , generalno prostoru balkana , ima "Ozbiljnih" Open source kreatora?
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Anybody using Common Lisp or clojure for data science
Did you have any occasion to evaluate neanderthal during your research? People seem to prefer it over core.matrix because it focus on primitive speed and sticking to BLAS idioms (as well as offering a decent api for working with GPU backends via cuda and opencl). I am curious to see if you did and found anything lacking there. I have a project on the backburner to try and target neanderthal for local search stuff, expressing problems in a high-level API that can then be baked into some numerically-friendly representation for efficient execution. It's often easier (trivial) to express solution representations, neighborhood functions, and objectives/constraints in a general purpose language, of which none of the things we like (sparse data structures, dynamically allocated stuff) are amenable to the contiguous memory, primitive numeric model that the hardware wants.
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I want to quit my data analyst job and learn and become a Clojure developer
Do clojure as a side gig or in free time. Let day job pay the bills. If you can, maybe incorporate clojure into work job to solve small problems (https://github.com/clj-python/libpython-clj and https://github.com/scicloj/clojisr provide bridges to/from python and r). There is a lot of effort going into the data science side as well; the scicloj effort has resulted in a lot of growth over the last 2 years. tech.ml.dataset, tech.ml (now scicloj.ml). Dragan has a bunch of excellent stuff in neanderthal and deep diamond. There are also bindings to other jvm libraries from multiple languages.
deep-diamond
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LLaMA-rs: Run inference of LLaMA on CPU with Rust 🦀🦙
I had some "classical ML" knowledge and knew a bit about the math behind DL and tensors in general thanks to the book Deep Learning for Programmers showcased in this repo: https://github.com/uncomplicate/deep-diamond (it's not in Rust, and I'm not sure what the current state of it is, though!).
- Interactive Programming for Artificial Intelligence Book Series
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Neanderthal, Deep Diamond, and ClojureCUDA now support the latest CUDA 11.7 GPU computing platform.
Plase check out clojars, or https://neanderthal.uncomplicate.org/ https://clojurecuda.uncomplicate.org/ https://github.com/uncomplicate/deep-diamond
- Uncomplicate releases with better CUDA compatibility (Deep Diamond, Neanderthal, ClojureCUDA)
- Deep Diamond 0.22.0 released
- What are some book suggestions you have for someone that is interested in learning about neural networks?
- Reading the Deep Learning Book by Goodfellow
- Arkadaşlar biraz programlama temelim var, makine öğrenmesine girmek istiyorum, ücretsiz kaynak önerebilir misiniz?
- Some Maths Resources to Help You in Your ML Journey
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I want to quit my data analyst job and learn and become a Clojure developer
Do clojure as a side gig or in free time. Let day job pay the bills. If you can, maybe incorporate clojure into work job to solve small problems (https://github.com/clj-python/libpython-clj and https://github.com/scicloj/clojisr provide bridges to/from python and r). There is a lot of effort going into the data science side as well; the scicloj effort has resulted in a lot of growth over the last 2 years. tech.ml.dataset, tech.ml (now scicloj.ml). Dragan has a bunch of excellent stuff in neanderthal and deep diamond. There are also bindings to other jvm libraries from multiple languages.
What are some alternatives?
dtype-next - A Clojure library designed to aid in the implementation of high performance algorithms and systems.
tech.ml.dataset - A Clojure high performance data processing system
libpython-clj - Python bindings for Clojure
compare_gan - Compare GAN code.
numcl-benchmarks - benchmarks against numpy, julia
clojisr - Clojure speaks statistics - a bridge between Clojure to R
magicl - Matrix Algebra proGrams In Common Lisp.
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
qvm - The high-performance and featureful Quil simulator.
scicloj.ml - A Clojure machine learning library
rebel-readline - Terminal readline library for Clojure dialects
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset