Candle is a minimalist machine learning framework and deep learning inference engine designed for the Rust programming language. It functions as a low-level tensor computation library, providing the necessary primitives for multi-dimensional array operations and mathematical transformations required to execute pre-trained neural network models. The framework distinguishes itself through a focus on memory efficiency and hardware utilization. It employs static-typed tensor operations to enforce shape validation and memory safety at compile time, while utilizing a lazy-loaded computational graph
Linfa is a classical machine learning framework and statistical learning suite implemented in Rust. It provides a collection of algorithms for supervised and unsupervised learning, focused on traditional statistical methods such as regression, clustering, and decision trees. The toolkit is distinguished by its ability to be compiled into WebAssembly, enabling analytical models to execute within browser environments. It employs a trait-based algorithm interface to standardize the process of training and prediction across its various models. The library covers a broad range of capabilities, in
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
A general classifier module to allow Bayesian and LSI classifications.
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
Las características principales de smartcorelib/smartcore son: Artificial Intelligence, Frameworks de Machine Learning, Machine Learning Frameworks.
Las alternativas de código abierto para smartcorelib/smartcore incluyen: rust-ml/linfa — Linfa is a classical machine learning framework and statistical learning suite implemented in Rust. It provides a… huggingface/candle — Candle is a minimalist machine learning framework and deep learning inference engine designed for the Rust programming… apache/incubator-mxnet — Apache MXNet is a deep learning framework and distributed machine learning library designed for training and deploying… chelsea0x3b/dfdx — Deep learning in Rust, with shape checked tensors and neural networks. catboost/catboost — CatBoost is a gradient boosting machine learning library used to train decision tree ensembles for regression,… asafschers/scoruby — Ruby Scoring API for PMML.