An Open Source Machine Learning Framework for Everyone
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Updated
May 4, 2026 - C++
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
An Open Source Machine Learning Framework for Everyone
The most cited deep learning papers
Learn OpenCV : C++ and Python Examples
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Open standard for machine learning interoperability
machine learning and deep learning tutorials, articles and other resources
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
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