deep-diamond
A fast Clojure Tensor & Deep Learning library (by uncomplicate)
geni-performance-benchmark
By zero-one-group
| deep-diamond | geni-performance-benchmark | |
|---|---|---|
| 16 | 3 | |
| 412 | 27 | |
| -0.5% | - | |
| 7.6 | 4.1 | |
| 2 months ago | over 3 years ago | |
| Clojure | Clojure | |
| Eclipse Public License 1.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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
Posts with mentions or reviews of deep-diamond.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-03-14.
-
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
-
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
-
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
Posts with mentions or reviews of geni-performance-benchmark.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-26.
-
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!
-
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?
When comparing deep-diamond and geni-performance-benchmark you can also consider the following projects:
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
compare_gan - Compare GAN code.
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
clojisr - Clojure speaks statistics - a bridge between Clojure to R
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.
deep-diamond vs tech.ml.dataset
geni-performance-benchmark vs jax
deep-diamond vs neanderthal
geni-performance-benchmark vs HTTP.jl
deep-diamond vs compare_gan
geni-performance-benchmark vs tablecloth
deep-diamond vs clojisr
geni-performance-benchmark vs tech.ml.dataset
deep-diamond vs mmaction2
geni-performance-benchmark vs functorch
deep-diamond vs scicloj.ml
geni-performance-benchmark vs TailRec.jl