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.
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Visualizer for neural network, deep learning and machine learning models
Learn OpenCV : C++ and Python Examples
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
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machine learning and deep learning tutorials, articles and other resources
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Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
A paper list of object detection using deep learning.
Low-code framework for building custom LLMs, neural networks, and other AI models
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🔥Highlighting the top ML papers every week.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
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