multilayer perceptron which can be trained using the backpropagation algorithm
[](https://www.npmjs.com/package/web-mlp)
Deep learning library for Node.js. (includes MLP, RBM, DBN, CRBM, CDBN)
Neural tabular models (MLP, TabM, NAM) for wlearn via polygrad
These type definitions are generated based on the MLP Vector Club's public OpenAPI specifications.
A library of common React components used by the MLP solutions.
Provides a comprehensive guide for using the Microsoft Visual Studio Code editor.
Deep learning library for Node.js. (includes MLP, RBM, DBN, CRBM, CDBN)
A simple, handrolled autograd implementation package with an MLP wrapper
My Little Protocol - Launching dao tools
Run CNN and MLP machine learning models for regression and classification tasks in your smartphone
A library of common React components used by the MLP solutions.
multilayer perceptron which can be trained using the backpropagation algorithm
Pure-Rust prompt-injection detector with 1.5MB embedded MLP classifier. 98.40% accuracy, p50 14ms CPU inference, prebuilt napi addons for Linux/macOS/Windows. Apache-2.0/MIT alternative to Rebuff and Lakera Guard.
multiple lint package cli
Maxim Deblurring model for UpscalerJS. Deblur images with AI using Javascript
style lint package
markdown lint package
eslint package
Tiny TypeScript-native tensor library with autograd, compiling to WebGPU. Train small models in the browser without hand-writing kernels, or run a pretrained one frozen for transfer learning.
Maxim Denoising model for UpscalerJS. Denoise images with AI using Javascript
Generate a fantastic My Little Pony name!
A factory for kernel functions
Maxim Enhancement model for UpscalerJS. Enhancement low light images with AI using Javascript
Free to anyone who wants it.
High-performance framework for benchmarking temporal prediction algorithms inspired by Time-R1
Small, from-scratch MLP (dense feed-forward) for Rust: predictable, allocation-free hot path, batched training, and optional fast GEMM backend.
ML inference engine for pre-trained models
Backend-agnostic Rust inference serving engine built on Tokio, tonic, and Burn.
RadixMLP: Prefix-based computation sharing for transformer models
A minimal autograd + MLP engine in Rust
Local embedding service for text classification using ONNX models
Testing utilities for float-pigment. Should not be used by modules of other projects.
A crate providing the trait and a derive macro to bridge complex, hierarchical data structures with optimization algorithms that use flat parameter vectors.
A derive macro to bridge complex, hierarchical data structures with optimization algorithms that use flat parameter vectors.
Pingora-based reverse proxy with ML-powered security
My Litte Production: Frontends, Instances, Metadata isa tiniy gem to manage production environment in a simple way
Database backed Multi-Layer Perceptron Neural Network in Ruby
Multi-Layer Perceptron Neural Network in Ruby
Database backed Multi-Layer Perceptron Neural Network in Ruby
provides a before_render method for action_controllers
This is a configurable feed forward mlp neural network. Documentation: https://github.com/chadellison/ruby_nn
Library to create neural networks. Features perceptron, MLP, and deep feed forward networks. Uses a logistic squash function.
Multi-Layer Perceptron Neural Network in Ruby(remake of reddavis' project by BEaStia)"
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.