An Open Source Machine Learning Framework for Everyone
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Updated
Jun 7, 2024 - C++
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
An Open Source Machine Learning Framework for Everyone
Open Source Computer Vision Library
Caffe: a fast open framework for deep learning.
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
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)
Cross-platform, customizable ML solutions for live and streaming media.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
ncnn is a high-performance neural network inference framework optimized for the mobile platform
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Open-source simulator for autonomous driving research.
A toolkit for making real world machine learning and data analysis applications in C++
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A flexible, high-performance serving system for machine learning models
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
Caffe: a fast open framework for deep learning.
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba