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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
A game theoretic approach to explain the output of any machine learning model.
Command-line program to download videos from YouTube.com and other video sites
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
An open access book on scientific visualization using python and matplotlib
A MATLAB implementation of Auto-Encoding Variational Bayes
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
李宏毅2021/2022/2023春季机器学习课程课件及作业
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Lectures for INFO8010 Deep Learning, ULiège
A collection of various deep learning architectures, models, and tips
The "Python Machine Learning (3rd edition)" book code repository
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …
Code samples for my book "Neural Networks and Deep Learning"
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
A technical report on convolution arithmetic in the context of deep learning
Caffe code to accompany my Tutorial on Variational Autoencoders
Tensorflow implementation of variational auto-encoder for MNIST
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Notebooks and code for the book "Introduction to Machine Learning with Python"