deep-diamond
geni-performance-benchmark
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deep-diamond | geni-performance-benchmark | |
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16 | 3 | |
412 | 27 | |
0.0% | - | |
7.6 | 4.1 | |
about 2 months ago | over 3 years ago | |
Clojure | Clojure | |
Eclipse Public License 1.0 | 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.
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.
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?
tech.ml.dataset - A Clojure high performance data processing system
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
neanderthal - Fast Clojure Matrix Library
HTTP.jl - HTTP for Julia
clojisr - Clojure speaks statistics - a bridge between Clojure to R
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
compare_gan - Compare GAN code.
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
functorch - functorch is JAX-like composable function transforms for PyTorch.
scicloj.ml - A Clojure machine learning library
TailRec.jl - A tail recursion optimization macro for julia.