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Machine Learning Module for Single Layer Perceptron ML models, written in Rust for Typescript.
The main features of retraigo/la-classy are: Machine Learning and AI.
Open-source alternatives to retraigo/la-classy include: aigamedev/btsk — Behavior Tree Starter Kit. affaan-m/ecc — ECC is an LLM agent orchestration framework and cross-platform AI tooling suite designed to coordinate multi-model… annetgpgpu/annetgpgpu — A GPU (CUDA) based Artificial Neural Network library. apache/incubator-mxnet — Apache MXNet is a deep learning framework and distributed machine learning library designed for training and deploying… bvlc/caffe — Caffe is a high-performance deep learning framework designed for training and deploying deep neural networks. It… codeplea/genann — simple neural network library in ANSI C.
ECC is an LLM agent orchestration framework and cross-platform AI tooling suite designed to coordinate multi-model workflows. It provides a system for managing specialized agent roles, reusable skills, and structured planning to execute complex software development tasks across different AI-powered code editors. The project distinguishes itself as a Model Context Protocol manager, providing a configuration layer to integrate external servers and audit tool execution. It further implements an agentic security sandbox that restricts sensitive file access and scans for secret leakage to secure a
A GPU (CUDA) based Artificial Neural Network library
Apache MXNet is a deep learning framework and distributed machine learning library designed for training and deploying neural networks across distributed systems, mobile devices, and hardware accelerators. It functions as a cross-platform runtime and a dynamic dataflow scheduler that optimizes neural network execution. The framework provides a multi-language API, enabling the development of machine learning models using Python, R, Julia, Scala, Go, and JavaScript. It supports high-performance model training and the scaling of workloads across multiple GPUs and machines. The system covers cap