dex-lang
Research language for array processing in the Haskell/ML family (by google-research)
FlexFlow
FlexFlow Serve: Low-Latency, High-Performance LLM Serving (by flexflow)
Our great sponsors
| dex-lang | FlexFlow | |
|---|---|---|
| 25 | 2 | |
| 1,533 | 1,495 | |
| 0.0% | 6.2% | |
| 8.8 | 9.3 | |
| 13 days ago | 6 days ago | |
| Haskell | C++ | |
| BSD 3-clause "New" or "Revised" License | Apache 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.
dex-lang
Posts with mentions or reviews of dex-lang.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-13.
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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.
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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
FlexFlow
Posts with mentions or reviews of FlexFlow.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-03-04.
- Accelerating LLM Serving with Speculative Inference and Token Tree Verification
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[N] PyTorch 1.8 Release, including Compiler and Distributed Training updates, New Mobile Tutorials
Oh, another cool user of FX is FlexFlow, which uses FX to take your PyTorch model and automatically parallelize it.
What are some alternatives?
When comparing dex-lang and FlexFlow you can also consider the following projects:
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
tutorials - PyTorch tutorials.
futhark - :boom::computer::boom: A data-parallel functional programming language
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
julia - The Julia Programming Language
hasktorch - Tensors and neural networks in Haskell
CIPs
Co-dfns - High-performance, Reliable, and Parallel APL
Enzyme.jl - Julia bindings for the Enzyme automatic differentiator
tensor_annotations - Annotating tensor shapes using Python types