Machine learning library for Node.js. You can also use this library in browser.
Supervised machine learning tools for nodejs
| [NPM Package](https://www.npmjs.com/package/@mlc-ai/web-tokenizers) | [WebLLM](https://github.com/mlc-ai/web-llm) |
Sentencepiece tokenization for natural language processing, JS version.
Sentencepiece tokenization for natural language processing, JS version.
Vertica client - pure javascript & libpq with the same API
| [NPM Package](https://www.npmjs.com/package/@mlc-ai/web-tokenizers) | [WebLLM](https://github.com/mlc-ai/web-llm) |
This folder contains the source code and emcc bindings for compiling XGrammar to Javascript/Typescript via [emscripten](https://emscripten.org/).
Sentencepiece tokenization for natural language processing, JS version.
cat-food-nation ===============
Sentencepiece tokenization for natural language processing.
Albert encoder for natural language processing.
Behavior based preference learning algorithm, based on pre-tagged images.
Sentencepiece tokenization for natural language processing, JS version.
A work in progress PDF library.
Machine Learning library in JavaScript
Account Linking for Actions on Google
This folder contains the source code and emcc bindings for compiling XGrammar to Javascript/Typescript via [emscripten](https://emscripten.org/).
A Rust library for machine learning algorithms
A high-performance machine learning & deep learning library in pure Rust, offering ML algorithms and neural network support
A machine learning library.
Machine Learning Framework for Hackers
Machine learning library
Machine Learning Framework for Hackers
A machine learning library for supervised training of parametrized models
Quickly showcase your machine learning magic! On the tissue, with Rust.
Complete machine learning framework in Rust - tensors, neural networks, 85+ ML algorithms, GPU acceleration, WASM, FFI, model serving, compiler optimizations, distributed training, and 8 hardware accelerators - all included by default
A simple Rust library for machine learning and deep learning.
Unofficial rust wrapper for Apple's mlx machine learning library.
A 64-bit Harvard The Machine Learning Machine is a 64-bit virtual Harvard-arch machine for evolutionary algorithms to program against. The machine has eight GPRs (`R0` through `R7`), a hardware stack with SP and BP, and hardware I/O with Input and Output.
This workbench holds a collection of machine learning methods in Ruby. Rather than specializing on a single task or method, this gem aims at providing an encompassing framework for any machine learning application.
A machine learning gem
Microsoft Azure Machine Learning Management Client Library for Ruby
Gem to build simple regressors and classifiers into your application, without necessarily having to understand all the math behind.
Microsoft Azure Machine Learning Services Management Client Library for Ruby
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