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A lightweight C++ machine learning library for embedded electronics and robotics.
The main features of fidoproject/fido are: AI and Machine Learning, General Machine Learning, Machine Learning.
Projects with overlapping indexed features include: mindsdb/mindsdb — MindsDB is an AI-native database engine that treats machine learning models and autonomous agents as virtual tables.… tensorflow/tensorflow — TensorFlow is a comprehensive machine learning framework designed for the construction, training, and deployment of… cdipaolo/goml — On-line Machine Learning in Go (and so much more). gorgonia/gorgonia — Gorgonia is a Go library that provides an automatic differentiation engine and a computation graph framework for… sjwhitworth/golearn — GoLearn is a machine learning library for the Go programming language. It provides a supervised learning framework and… azure/mmlspark — Mmlspark is a distributed framework for executing machine learning models, data transformations, and AI service…
Gorgonia is a Go library that provides an automatic differentiation engine and a computation graph framework for building and training neural networks. It functions as a CUDA-accelerated tensor library and a SIMD-optimized math library, enabling machine learning workflows entirely within the Go ecosystem. The library distinguishes itself through a dual-backend architecture that dispatches neural network operations to either a GPU or CPU depending on CUDA availability at runtime. It constructs differentiable directed acyclic graphs of tensor operations, supports reverse-mode automatic gradient
MindsDB is an AI-native database engine that treats machine learning models and autonomous agents as virtual tables. By mapping external data sources, predictive models, and third-party services directly into the database schema, it enables users to perform inference, data retrieval, and complex orchestration using standard SQL syntax. The platform distinguishes itself through an autonomous agent orchestrator that executes iterative reasoning loops, allowing agents to plan data access and synthesize natural language responses from connected knowledge bases. It functions as a federated data ga
GoLearn is a machine learning library for the Go programming language. It provides a supervised learning framework and a toolkit for building, training, and evaluating predictive models through a standardized interface. The project implements a data frame system that loads CSV files into structured grids for matrix operations. It includes a preprocessing library for discretizing continuous variables and a model evaluation toolkit that utilizes confusion matrices and cross-validation to measure precision and recall. The library covers data engineering and management, including the ability to
