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.
Deepfakes Software For All
Learn OpenCV : C++ and Python Examples
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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.
machine learning and deep learning tutorials, articles and other resources
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...
深度学习入门教程, 优秀文章, Deep Learning Tutorial
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)
Visualizer for neural network, deep learning and machine learning models
T81-558: Keras - Applications of Deep Neural Networks @washington University in St. Louis
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A paper list of object detection using deep learning.
🤘 awesome-semantic-segmentation
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)
Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
A general-purpose encoder-decoder framework for Tensorflow