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深度神经网络
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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
Deepfakes Software For All
Learn OpenCV : C++ and Python Examples
Open standard for machine learning interoperability
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
DeepFaceLab is the leading software for creating deepfakes.
machine learning and deep learning tutorials, articles and other resources
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
pix2code: Generating Code from a Graphical User Interface Screenshot
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A paper list of object detection using deep learning.
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Techniques for deep learning with satellite & aerial imagery
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.