deep-diamond
A fast Clojure Tensor & Deep Learning library (by uncomplicate)
scicloj.ml
A Clojure machine learning library (by scicloj)
Our great sponsors
deep-diamond | scicloj.ml | |
---|---|---|
16 | 5 | |
412 | 199 | |
0.0% | 3.0% | |
7.6 | 4.6 | |
2 months ago | 3 months ago | |
Clojure | Clojure | |
Eclipse Public License 1.0 | Eclipse Public 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.
scicloj.ml
Posts with mentions or reviews of scicloj.ml.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-29.
-
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!
-
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
-
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.
What are some alternatives?
When comparing deep-diamond and scicloj.ml you can also consider the following projects:
tech.ml.dataset - A Clojure high performance data processing system
neanderthal - Fast Clojure Matrix Library
tablecloth - Dataset manipulation library built on the top of tech.ml.dataset
compare_gan - Compare GAN code.
sklearn-clj - Plugin to use sklearn models in metamorph.ml
clojisr - Clojure speaks statistics - a bridge between Clojure to R
scicloj.ml.xgboost - A xgboost plugin for scicloj.ml
mmaction2 - OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
scicloj.ml.smile - A Smile plugin for scicloj.ml
clj-djl - clojure wrap for deep java library(DJL.ai)
deep-diamond vs tech.ml.dataset
scicloj.ml vs tech.ml.dataset
deep-diamond vs neanderthal
scicloj.ml vs tablecloth
deep-diamond vs compare_gan
scicloj.ml vs sklearn-clj
deep-diamond vs clojisr
scicloj.ml vs scicloj.ml.xgboost
deep-diamond vs mmaction2
scicloj.ml vs scicloj.ml.smile
deep-diamond vs tablecloth
scicloj.ml vs clj-djl