cl-waffe2
[Experimental] Graph and Tensor Abstraction for Deep Learning all in Common Lisp (by hikettei)
computable-reals
Arbitrary precision, automatic re-computing real numbers in Common Lisp. (by stylewarning)
| cl-waffe2 | computable-reals | |
|---|---|---|
| 2 | 2 | |
| 119 | 28 | |
| - | - | |
| 9.9 | 2.5 | |
| 5 months ago | 4 months ago | |
| Common Lisp | Common Lisp | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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.
cl-waffe2
Posts with mentions or reviews of cl-waffe2.
We have used some of these posts to build our list of alternatives
and similar projects.
- Deep Learning Framework in Common Lisp
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I want your feedback/contributions on my WIP deep learning framework project on Common Lisp.
Now it's available on GitHub under MIT Licence: https://github.com/hikettei/cl-waffe2
computable-reals
Posts with mentions or reviews of computable-reals.
We have used some of these posts to build our list of alternatives
and similar projects.
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Could numerical operations be optimized by using algebraic properties that are not present in floating point operations but in numbers that have infinite precision?
You can use computable real numbers which are data structures which can compute, on demand, any precision you want. Even for irrational numbers or arbitrary combinations of them. This is essentially a programmatic way to encode Cauchy sequences. Here's an implementation in Common Lisp.
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Integer Math Help
What you're describing sounds like computable reals to me. Probably possible but lot of work to implement.
What are some alternatives?
When comparing cl-waffe2 and computable-reals you can also consider the following projects:
clasp - clasp Common Lisp environment
clog - CLOG - The Common Lisp Omnificent GUI
roswell - intended to be a launcher for a major lisp environment that just works.
nyxt - Nyxt - the hacker's browser.
pgloader - Migrate to PostgreSQL in a single command!
slime - The Superior Lisp Interaction Mode for Emacs
lem - Common Lisp editor/IDE with high expansibility