An Open Source Machine Learning Framework for Everyone
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Updated
Nov 19, 2024 - C++
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
An Open Source Machine Learning Framework for Everyone
A flexible, high-performance serving system for machine learning models
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
A C++ standalone library for machine learning
Samples and Tools for Windows ML.
Arm Machine Learning tutorials and examples
Framework and Library for Distributed Online Machine Learning
AoE (AI on Edge,终端智能,边缘计算) 是一个终端侧AI集成运行时环境 (IRE),帮助开发者提升效率。
Machine learning framework for both deep learning and traditional algorithms
🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.
Extensible Combinatorial Optimization Learning Environments
A C++17 library to access the entire OpenAI API.
Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration
Ruby language bindings for LIBSVM
This repository holds the Arduino Library for the EdX TinyML Specialization