torchtyping
TypeScript
torchtyping | TypeScript | |
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7 | 1,305 | |
1,337 | 98,060 | |
- | 0.6% | |
3.2 | 9.9 | |
11 months ago | 4 days ago | |
Python | TypeScript | |
Apache License 2.0 | Apache License 2.0 |
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torchtyping
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[D] Have their been any attempts to create a programming language specifically for machine learning?
Not really an answer to your question, but there are Python packages that try to solve the problem of tensor shapes that you mentioned, e.g. https://github.com/patrick-kidger/torchtyping or https://github.com/deepmind/tensor_annotations
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What's New in Python 3.11?
I disagree. I've had a serious attempt at array typing using variadic generics and I'm not impressed. Python's type system has numerous issues... and now they just apply to any "ArrayWithNDimensions" type as well as any "ArrayWith2Dimenensions" type.
Variadic protocols don't exist; many operations like stacking are inexpressible; the synatx is awful and verbose; etc. etc.
I've written more about this here as part of my TorchTyping project: [0]
[0] https://github.com/patrick-kidger/torchtyping/issues/37#issu...
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Can anyone point out the mistakes in my input layer or dimension?
also https://github.com/patrick-kidger/torchtyping
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[D] Anyone using named tensors or a tensor annotation lib productively?
FWIW I'm the author of torchtyping so happy to answer any questions about that. :) I think people are using it!
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[D] Ideal deep learning library
The one thing I really *really* wish got more attention was named tensors and the tensor type system. Tensor misalignment errors are a constant source of silently-failing bugs. While 3rd party libraries have attempted to fill this gap, it really needs better native support. In particular it seems like bad form to me for programmers to have to remember the specific alignment and broadcasting rules, and then have to apply them to an often poorly documented order of tensor indices. I'd really like to see something like tsalib's warp operator made part of the main library and generalized to arbitrary function application, like a named-tensor version of fold. But preferably using notation closer to that of torchtyping.
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[P] torchtyping -- documentation + runtime type checking of tensor shapes (and dtypes, ...)
Yes it does work with numerical literals! It support using integers to specify an absolute size, strings to specify names for dimensions that should all be consistently sized (and optionally also checks named tensors), "..." to indicate batch dimensions, and so on. See the full list here.
TypeScript
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JSR Is Not Another Package Manager
Regular expressions are part of the language, so it's not so unreasonable that TypeScript should parse them and take their semantics into account. Indeed, TypeScript 5.5 will include [new support for syntax checking of regular expressions](https://github.com/microsoft/TypeScript/pull/55600), and presumably they'll eventually be able to solve the problem the GP highlighted on top of those foundations.
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TypeScript Essentials: Distinguishing Types with Branding
Dedicated syntax for creating unique subsets of a type that denote a particular refinement is a longstanding ask[2] - and very useful, we've experimented with implementations.[3]
I don't think it has any relation to runtime type checking at all. It's refinement types, [4] or newtypes[5] depending on the details and how you shape it.
[1] https://github.com/microsoft/TypeScript/blob/main/src/compil...
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What is an Abstract Syntax Tree in Programming?
GitHub | Website
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Smart Contract Programming Languages: sCrypt vs. Solidity
Learning Curve and Developer Tooling sCrypt is an embedded Domain Specific Language (eDSL) based on TypeScript. It is strictly a subset of TypeScript, so all sCrypt code is valid TypeScript. TypeScript is chosen as the host language because it provides an easy, familiar language (JavaScript), but with type safety. There’s an abundance of learning materials available for TypeScript and thus sCrypt, including online tutorials, courses, documentation, and community support. This makes it relatively easy for beginners to start learning. It also has a vast ecosystem with numerous libraries and frameworks (e.g., React, Angular, Vue) that can simplify development and integration with Web2 applications.
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Understanding the Difference Between Type and Interface in TypeScript
As a JavaScript or TypeScript developer, you might have come across the terms type and interface when working with complex data structures or defining custom types. While both serve similar purposes, they have distinct characteristics that influence when to use them. In this blog post, we'll delve into the differences between types and interfaces in TypeScript, providing examples to aid your understanding.
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Type-Safe Fetch with Next.js, Strapi, and OpenAPI
TypeScript helps you in many ways in the context of a JavaScript app. It makes it easier to consume interfaces of any type.
- Proposal: Types as Configuration
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How to scrape Amazon products
In this guide, we'll be extracting information from Amazon product pages using the power of TypeScript in combination with the Cheerio and Crawlee libraries. We'll explore how to retrieve and extract detailed product data such as titles, prices, image URLs, and more from Amazon's vast marketplace. We'll also discuss handling potential blocking issues that may arise during the scraping process.
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Shared Tailwind Setup For Micro Frontend Application with Nx Workspace
TypeScript
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Building a Dynamic Job Board with Issues Github, Next.js, Tailwind CSS and MobX-State-Tree
Familiarity with TypeScript, React and Next.js
What are some alternatives?
jaxtyping - Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
zod - TypeScript-first schema validation with static type inference
equinox - Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Flutter - Flutter makes it easy and fast to build beautiful apps for mobile and beyond
tsalib - Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)
Tailwind CSS - A utility-first CSS framework for rapid UI development.
mypy - Optional static typing for Python
zx - A tool for writing better scripts
functorch - functorch is JAX-like composable function transforms for PyTorch.
esbuild - An extremely fast bundler for the web
tensor_annotations - Annotating tensor shapes using Python types
gray-matter - Smarter YAML front matter parser, used by metalsmith, Gatsby, Netlify, Assemble, mapbox-gl, phenomic, vuejs vitepress, TinaCMS, Shopify Polaris, Ant Design, Astro, hashicorp, garden, slidev, saber, sourcegraph, and many others. Simple to use, and battle tested. Parses YAML by default but can also parse JSON Front Matter, Coffee Front Matter, TOML Front Matter, and has support for custom parsers. Please follow gray-matter's author: https://github.com/jonschlinkert