spidr
Accelerated machine learning with dependent types (by joelberkeley)
tensor-safe
A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras. (by leopiney)
spidr | tensor-safe | |
---|---|---|
4 | - | |
61 | 101 | |
- | - | |
5.9 | 0.0 | |
7 days ago | over 1 year ago | |
Idris | Haskell | |
Apache License 2.0 | 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.
spidr
Posts with mentions or reviews of spidr.
We have used some of these posts to build our list of alternatives
and similar projects.
- Accelerated machine learning with dependent types
-
[Project] Idris and XLA: linear algebra and probabilistic modelling w. dependent types
In June, I announced I'd started work on a probabilistic modelling library in Idris. This post is to announce the first major milestone: basic linear algebra in Idris backed by XLA. Right now, this is only addition, but other ops are easy to add from here.
[In June](https://www.reddit.com/r/MachineLearning/comments/o9lqb8/probabilistic_modelling_project_w_dependent_types/?utm_source=share&utm_medium=web2x&context=3), I started work on a probabilistic modelling [library](https://github.com/joelberkeley/spidr) in Idris. This post is to announce the first major milestone: *basic linear algebra in Idris backed by XLA*. Right now, this is just addition, but adding ops will be easy from here.
-
ML engineering as [research]. Probabilistic modelling [project] w. dependent types. Early stages
I've been working almost full time on a probabilistic modelling framework with an API in Idris, a purely functional programming language with a very advanced type system incl. dependent types (you can parametrise tensor types by their shape, and more), quantitative types and theorem proving.
tensor-safe
Posts with mentions or reviews of tensor-safe.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning tensor-safe yet.
Tracking mentions began in Dec 2020.