Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Courses, books, tutorials, paper collections and curated awesome lists.
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1,912 results
Repo for the Deep Learning Nanodegree Foundations program.
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
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Deep Learning Tutorial notes and code. See the wiki for more info.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
Update arXiv papers about Spiking Neural Networks daily.
This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"
A comprehensive book on neural networks and large language models in NLP
My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
Books related to Artificial Intelligence, Machine Learning, Deep Learning and Neural Networks
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
A must-read paper for speech separation based on neural networks
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Papers on Graph neural network(GNN)
Paper list for equivariant neural network
Must-read Papers on Physics-Informed Neural Networks.
Another Chinese Translation of Neural Networks and Deep Learning
Neural Networks from Scratch in various programming languages
A list of papers on Generative Adversarial (Neural) Networks
Recurrent Neural Network - A curated list of resources dedicated to RNN
A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊以及CNS论文和代码，正在持续更新中。
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Code for the Make Your Own Neural Network book
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