Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to automatically learn hierarchical representations from data. It powers modern breakthroughs in computer vision, natural language processing, speech recognition, and generative AI.
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Visualizer for neural network, deep learning and machine learning models
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Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
machine learning and deep learning tutorials, articles and other resources
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)
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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...
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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.
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Low-code framework for building custom LLMs, neural networks, and other AI models
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A paper list of object detection using deep learning.