Selection — 3 881

An open source machine learning framework in Rust ?

Rust bindings for the C++ API of PyTorch

Deep learning in Rust, with shape checked tensors and neural networks

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals

Fast State-of-the-Art Tokenizers optimized for Research and Production

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Python-free Rust inference server for NLP models with OpenAI API compatibility and hot model swapping.

Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.

maptree - maptree: Mapping, pruning, and graphing tree models. [Deprecated]

Multi-algorithm ensemble learning packages.

Two data science utilities in R from Microsoft: 1) Interactive Data Exploration, Analysis, and Reporting (IDEAR) ; 2) Automated Modelling and Reporting (AMR).

Multidimensional cluster generation in R.

Example code and materials that illustrate applications of SAS machine learning techniques.

Example code and materials that illustrate techniques for integrating SAS with other analytics technologies in Java, PMML, Python and R.

Example code and materials that illustrate using neural networks with several hidden layers in SAS.

Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.

Breeze is a numerical processing library for Scala.

Chalk is a natural language processing library. [Deprecated]

FACTORIE is a toolkit for deployable probabilistic modelling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.

Montague is a semantic parsing library for Scala with an easy-to-use DSL.

Natural language processing library built on top of Apache Spark ML to provide simple, performant, and accurate NLP annotations for machine learning pipelines, that scale easily in a distributed environment.

N-dimensional arrays in Scala 3. Think NumPy ndarray, but with compile-time type-checking/inference over shapes, tensor/axis labels & numeric data types

A Scala API for Cascading.

Streaming MapReduce with Scalding and Storm.

Abstract Algebra for Scala.

Data management utilities for Scala. [Deprecated]

PredictionIO, a machine learning server for software developers and data engineers.

CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.

An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).

Scalable Machine Learning in Scalding.

Distributed decision tree ensemble learning in Scala.

Scalding powered machine learning. [Deprecated]

A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.

Bioinformatics for the Scala programming language

CPU and GPU-accelerated Machine Learning Library.

a Scala library for constructing probabilistic models.