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🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

adaboost

AdaBoost code in Python

auto-encoder-variants-object-oriented

用matlab实现AE的各种变种，并打包成类（BP，AE，SAE，GAE，weighted-cost-based SAE，enhanced learning SAE(还没完成）).

autoencoder_matlab

autoencoders_matlab

Project in ML course involving autoencoders training and analysis

autoencoders_matlab-1

cs231n-note-translation_cn

CS231课程笔记翻译 https://zhuanlan.zhihu.com/intelligentunit

deep-clustering-network-dcn-

PyTorch Implementation of "Towards K-Means-Friendly Spaces: Simultaneous Deep Learning and Clustering," Bo Yang et al., ICML'2017.

deeplearntoolbox

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 get you started.

di-star-

OpenDILab Decision AI in StarCraftII

dl-course-proj

An empirical study of Deep Learning and Stacked AutoEncoders

fucking-algorithm

刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

gan

python notebooks accompanying the book Make Your Own GAN

k-means-clustering

k-means\k-means++\kernel k-means

mnist_autoencoder_matlab

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

openpose_fall_detect

openpose fall detect

pytorch-autoencoders

Implementation of autoencoders in PyTorch

softmax-classifier

使用matlab代码实现了简单的softmax分类

stacked_autoencoder

用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调

stackedautoencoder

Stacked autoencoder exercise from http://ufldl.stanford.edu/

tang-learn-how-to-use-github

how to use github

vae

a simple vae and cvae from keras