dex-lang
HLearn-algebra
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| dex-lang | HLearn-algebra | |
|---|---|---|
| 25 | 2 | |
| 1,535 | 1,619 | |
| 0.1% | - | |
| 8.8 | 0.0 | |
| 1 day ago | almost 8 years ago | |
| Haskell | Haskell | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
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dex-lang
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Thinking in an Array Language
A really nice approach to this I've seen recently is Google's research on [Dex](https://github.com/google-research/dex-lang).
- Function Composition in Programming Languages – Conor Hoekstra – CppNorth 2023 [video]
- Dex Lang: Research language for array processing in the Haskell/ML family
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[D] Have their been any attempts to create a programming language specifically for machine learning?
Dex
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[D] PyTorch 2.0 Announcement
Have you tried Dex? https://github.com/google-research/dex-lang It is in a relatively early stage, but it is exploring some interesting parts of the design space.
- Mangle, a programming language for deductive database programming
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Looking for languages that combine algebraic effects with parallel execution
I think [Dex](https://github.com/google-research/dex-lang) might be along the lines of what you're looking for, although its focus is on SIMD GPU-style parallelism rather than thread-level parallelism.
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“Why I still recommend Julia”
Dex proves indexing correctness without a full dependent type system, including loops.
See: https://github.com/google-research/dex-lang/pull/969
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Haskell for Artificial Intelligence?
In case you want to see one research direction that's combining practical machine learning and functional programming, one of the authors of JAX (and the main author of its predecessor, Autograd) is writing Dex (https://github.com/google-research/dex-lang), a functional language for array processing. The compiler itself is written in Haskell. JAX is one of the most popular libraries for doing a lot of machine learning these days, along with Tensorflow and PyTorch. You might also want to see the bug in the JAX repo about adding Haskell support, for some context: https://github.com/google/jax/issues/185
HLearn-algebra
- looking for simple regression (or classification) library
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Haskell for Artificial Intelligence?
GitHub - mikeizbicki/HLearn: Homomorphic machine learning
What are some alternatives?
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
tensorflow - Haskell bindings for TensorFlow
futhark - :boom::computer::boom: A data-parallel functional programming language
fastbayes - A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling).
julia - The Julia Programming Language
rc - Reservoir Computing, an RNN flavor
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
haskell-ml - Various examples of machine learning, in Haskell.
hasktorch - Tensors and neural networks in Haskell
neural - Neural Nets in native Haskell
CIPs
multilinear-io - Input/output capability in various formats (binary, CSV, JSON) for Multilinear package in Haskell.