Top C++ Frameworks & Libraries for machine learning 48
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes....
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classificatio...
A toolkit for making real world machine learning and data analysis applications in C++
Turi Create simplifies the development of custom machine learning models.
Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc....
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2s...
A flexible, high-performance serving system for machine learning models
Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models...
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization...
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies....
A domain specific language to express machine learning workloads.
C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512 for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM....
OpenMLDB is an open-source machine learning database that provides a full-stack FeatureOps solution for production....
IBM Fully Homomorphic Encryption Toolkit For Linux. This toolkit is a Linux based Docker container that demonstrates computing on encrypted data without decrypting...
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India....
Matrix Shadow:Lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for (Deep) Machine Learning...
SFrame: Scalable tabular and graph data-structures built for out-of-core data analysis and machine learning....
A library created to revitalize C++ as a machine learning front end. Per aspera ad astra.
Node-tensorflow is a NodeJS API for utilizing Google's machine learning library TensorFlow.
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks...
A common bricks library for building scalable and portable distributed machine learning.
captcha break based on opencv2, tesseract-ocr and some machine learning algorithm.
Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)
Machine learning framework for both deep learning and traditional algorithms
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）...
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes....
An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
A framework to monitor and improve the performance of PostgreSQL using Machine Learning methods.
Machine Learning Framework for Operating Systems - Brings ML to Linux kernel
This is the Arduino® compatible port of the AIfES machine learning framework, developed and maintained by Fraunhofer Institute for Microelectronic Circuits and Sys...
implement AlexNet with C / convolutional nerual network / machine learning / computer vision...
Configuration files, examples and tools for the Machine Learning Core feature (MLC) available in STMicroelectronics MEMS sensors. Some examples of devices includin...