A starter kit for Jupyter notebooks and machine learning. Companion docker images consist of all combinations of python versions, machine learning frameworks (Keras, PyTorch and Tensorflow) and CPU/CUDA versions.
All-in-one web-based IDE for machine learning and data science. The workspace is deployed as a docker container and is preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch) and dev tools (e.g., Jupyter, VS Code).
Build semantic search applications and workflows.
The AI-native database built for LLM applications, providing incredibly fast vector and full-text search. Developed using C++20
A list of all things related to TensorFlow.
A curated list of awesome Keras projects, libraries and resources.
On-device streaming speech recognition SDK for iOS with Swift bindings (SPM). Based on NVIDIA NeMo FastConformer (80 ms cache-aware lookahead). Companion Silero VAD, wake-word, and 14-command KWS via same runtime.
A curated list of machine learning models in CoreML format.
A curated list of pretrained CoreML models.
A library for machine learning that builds predictions using a linear regression.
Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
The first neural network / machine learning library written in Swift. This is a project for AI algorithms in Swift for iOS and OS X development. This project includes algorithms focused on Bayes theorem, neural networks, SVMs, Matrices, etc...
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
A toolbox framework of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
A bare bones library that includes a general matrix language and wraps some OpenCV for iOS development. [Deprecated]
The iOS and OS X neural network framework.
a next-generation platform for machine learning, incorporating the latest research across machine learning, compilers, differentiable programming, systems design, and beyond.
Highly optimized artificial intelligence and machine learning library written in Swift.
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
Neural network inference from the command line, implemented in CHICKEN Scheme.
A distributed Spark/Scala implementation of the isolation forest algorithm for unsupervised outlier detection, featuring support for scalable training and ONNX export for easy cross-platform inference.
Strongly-typed Scala API for TensorFlow.
An in-memory machine learning library built on top of Breeze. It provides immutable objects and exposes its functionality through a scikit-learn-like API.
Simply written algorithms to help study ML or write your own implementations.
Flexible Declarative Learning-Based Programming.
Scala Library/REPL for Machine Learning Research.
H2O and Spark interoperability.
a Scala library for constructing probabilistic models.
CPU and GPU-accelerated Machine Learning Library.
Bioinformatics for the Scala programming language
A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
Scalding powered machine learning. [Deprecated]
Distributed decision tree ensemble learning in Scala.
Scalable Machine Learning in Scalding.
An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning in Scala (3).
CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
PredictionIO, a machine learning server for software developers and data engineers.
Data management utilities for Scala. [Deprecated]
Abstract Algebra for Scala.
Streaming MapReduce with Scalding and Storm.
A Scala API for Cascading.
N-dimensional arrays in Scala 3. Think NumPy ndarray, but with compile-time type-checking/inference over shapes, tensor/axis labels & numeric data types
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.
Montague is a semantic parsing library for Scala with an easy-to-use DSL.
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.
Chalk is a natural language processing library. [Deprecated]
Breeze is a numerical processing library for Scala.
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.