dex-lang
| biscuit-go | dex-lang | |
|---|---|---|
| 2 | 25 | |
| 69 | 1,543 | |
| - | 0.8% | |
| 3.8 | 8.5 | |
| 6 days ago | 6 days ago | |
| Go | Haskell | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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biscuit-go
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Mangle, a programming language for deductive database programming
Other resources for logic programming and Go:
ichiban/prolog - ISO Prolog interpreter in pure Go, getting close to v1: https://github.com/ichiban/prolog
trealla-prolog/go - ISO Prolog interpreter embedded via WASM: https://github.com/trealla-prolog/go
guregu/pengine - library for interfacing with Pengines (SWI-Prolog's RPC protocol): https://github.com/guregu/pengine
biscuit-auth/biscuit-go - Biscuits are a fancy auth token with a little Datalog engine: https://github.com/biscuit-auth/biscuit-go
I'm a big fan of logic programming. We've been seeing a small resurgence of interest in it (for example Yarn using Prolog made some waves) and I have some optimism for its future.
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Biscuit authentication/authorization tokens are released in v1.0
There are also implementations in Java and Go, and an online playground to test the policy language.
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
What are some alternatives?
mangle
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
wuffs - Wrangling Untrusted File Formats Safely
futhark - :boom::computer::boom: A data-parallel functional programming language
curve25519-dalek - A pure-Rust implementation of group operations on Ristretto and Curve25519
julia - The Julia Programming Language
zetasql - ZetaSQL - Analyzer Framework for SQL
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
rune - Rune is a programming language developed to test ideas for improving security and efficiency.
hasktorch - Tensors and neural networks in Haskell
biscuit-java - Java implementation of the Biscuit authentication and authorization token
CIPs