tinygrad
vercel
tinygrad | vercel | |
---|---|---|
17 | 484 | |
24,018 | 12,182 | |
3.3% | 1.1% | |
10.0 | 9.8 | |
6 days ago | 2 days ago | |
Python | TypeScript | |
MIT License | Apache License 2.0 |
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.
tinygrad
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AMD Unveils Ryzen 8000G Series Processors: Zen 4 APUs for Desktop with Ryzen AI
Not sure if I completely understand what "Ryzen AI" does, but Tinygrad for example has some limited support for RDNA3[0]. It isn't quite there yet in matters of performance though, as you can read in the comments of that file.
There's also a small tutorial by AMD on how to use the WMMA intrinsic[1] using AMD's hipcc[2] compiler. Documentation is sparse kinda sparse, but the instruction set is not huge. The RDNA3 ISA guide[3] might also be helpful (and only a fraction of the pages are relevant.)
0. https://github.com/tinygrad/tinygrad/blob/master/extra/gemm/...
1. https://gpuopen.com/learn/wmma_on_rdna3/
2. https://github.com/ROCm/HIPCC
3. https://www.amd.com/content/dam/amd/en/documents/radeon-tech...
- Tinygrad 0.8.0 Release
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Beyond Backpropagation - Higher Order, Forward and Reverse-mode Automatic Differentiation for Tensorken
This post describes how I added automatic differentiation to Tensorken. Tensorken is my attempt to build a fully featured yet easy-to-understand and hackable implementation of a deep learning library in Rust. It takes inspiration from the likes of PyTorch, Tinygrad, and JAX.
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[D] What is a good way to maintain code readability and code quality while scaling up complexity in libraries like Hugging Face?
what do you think about tinygrad? I think its a good example of growing and well written, (partially) well documented library with many close to reference implementations
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AMD MI300 Performance – Faster Than H100, but How Much?
The idea of model architecture making fast hardware design easier is what makes https://github.com/tinygrad/tinygrad so interesting.
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💻 7 Open-Source DevTools That Save Time You Didn't Know to Exist ⌛🚀
🌟 Support on GitHub Website: https://tinygrad.org/
- Tinygrad
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How to train an Iris dataset classifier with Tinygrad
Before we begin, make sure you have TinyGrad and the required dependencies installed. You can find the installation instructions here.
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Decomposing Language Models into Understandable Components
Try to get something like tinygrad[1] running locally, that way you can tweak things a bit run it again and see how it performs. While doing this you'll pick up most of the concepts and get a feeling of how things work. Also, take a look at projects like llama.cpp[2], you don't have to fully understand what's going on here, tho.
You may need some intermediate knowledge of linear algebra and this thing called "data science" nowadays, which is pretty much knowing how to mangle data and visualize it.
Try creating a small model on your own, it doesn't have to be super fancy just make sure it does something you want it to do. And then ... you'll probably could go on your own then.
1: https://github.com/tinygrad/tinygrad
2: https://github.com/ggerganov/llama.cpp
- Tinygrad 0.7.0
vercel
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FlowDiver: The Road to SSR - Part 1
Choosing Vercel was a natural decision as it has become the default method for launching apps that are accessible to a wide audience. The simplicity of configuring environment variables, domains, and other settings facilitated this choice. We have implemented feature branch deployment to guarantee that the code is operational and prepared for peer review.
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Build and deploy a Next.js ecommerce website in 5 steps
Next, we'll deploy our ecommerce website to Vercel (which is a great choice to host your Next.js website). Other hosting options include Netlify and Render.
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Building static websites
This approach has seen a proliferation of platforms that offer this as a service(Netlify, Vercel, Cloudflare etc.) and also a proliferation of frameworks with different strengths and weaknesses(list of frameworks supported cloudflare).
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Vite vs Nextjs: Which one is right for you?
Next.js: Highly optimized for production from the start, with features tailored for performance in real-world scenarios, including extensive support for SEO and server-side capabilities. Note: With deployment to Vercel is free and comes with additional free tooling such as website analytics and more.
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Next.js starter template
Easily deploy your Next.js app with Vercel by clicking the button below:
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Building a Production-Ready Web App with T3 Stack
Now go to https://vercel.com, sign up for an account, and click "New Project". Connect your GitHub account and give Vercel permission to access your repositories.
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How to deploy a Next.js application to GitLab Page
Next.js has become a standard choice for developing React applications, offering various deployment options across different platforms. While Vercel is a popular choice for building and deployment, specific project requirements may require deployment to GitLab. In this guide, I'll illustrate the process of deploying a Next.js application to GitLab Pages.
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What I have in my portfolio 😎
I hosted my portfolio in Vercel. The main reason why I chose it is the hosting has great support for NextJS and IMPORTANT THING, it is total FREE 🤑 (with my usage). And I have use GitHub Action for deploy it automatically when I make or merge change into main branch.
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React to Vercel: Deployment Made Easy.
To do this just head over to Vercel and log in if you're not already logged in. If this is your first project, you'll be seeing something like this.
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Next.js: Crafting a Strict CSP
function getContentSecurityPolicyHeaderValue( nonce: string, reportUri: string, ): string { // Default CSP for Next.js const contentSecurityPolicyDirective = { 'base-uri': [`'self'`], 'default-src': [`'none'`], 'frame-ancestors': [`'none'`], 'font-src': [`'self'`], 'form-action': [`'self'`], 'frame-src': [`'self'`], 'connect-src': [`'self'`], 'img-src': [`'self'`], 'manifest-src': [`'self'`], 'object-src': [`'none'`], 'report-uri': [reportUri], // for old browsers like Firefox 'report-to': ['csp'], // for modern browsers like Chrome 'script-src': [ `'nonce-${nonce}'`, `'strict-dynamic'`, // force hashes and nonces over domain host lists ], 'style-src': [`'self'`], } if (process.env.NODE_ENV === 'development') { // Webpack use eval() in development mode for automatic JS reloading contentSecurityPolicyDirective['script-src'].push(`'unsafe-eval'`) } if (process.env.NEXT_PUBLIC_VERCEL_ENV === 'preview') { contentSecurityPolicyDirective['connect-src'].push('https://vercel.live') contentSecurityPolicyDirective['connect-src'].push('wss://*.pusher.com') contentSecurityPolicyDirective['img-src'].push('https://vercel.com') contentSecurityPolicyDirective['font-src'].push('https://vercel.live') contentSecurityPolicyDirective['frame-src'].push('https://vercel.live') contentSecurityPolicyDirective['style-src'].push('https://vercel.live') } return Object.entries(contentSecurityPolicyDirective) .map(([key, value]) => `${key} ${value.join(' ')}`) .join('; ') }
What are some alternatives?
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
flyctl - Command line tools for fly.io services
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
node-canvas - Node canvas is a Cairo backed Canvas implementation for NodeJS.
llama.cpp - LLM inference in C/C++
fake-store-api - FakeStoreAPI is a free online REST API that provides you fake e-commerce JSON data
llama - Inference code for Llama models
vite - Next generation frontend tooling. It's fast!
openpilot - openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.
create-react-app - Set up a modern web app by running one command.
tensorflow_macos - TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.
inertia - Inertia.js lets you quickly build modern single-page React, Vue and Svelte apps using classic server-side routing and controllers.