Awesome Deep Learning Models

🤩Learning and reproducing classic deep learning models by using PyTorch.

🛠This repository is not a library, it's just some learning resource about catching the tricks of calssical models. You can get some details you need here.

Machine Learning Model

Statistical Learning Method

Supervised Learning

📗 Note 👈

• Perception
• KNN(K-Nearest Neighbor)
• Naive Bayes
• Decision Tree
• Logistic Regression and Maximum Entropy Model
• SVM(Support Vector Machine)
• Adaboost(Adaptive Boost)
• EM(Expectation Maximization)
• HMM(Hidden Markov Model)
• CRF(Conditional Random Field)

Unsupervised Learning

• K-Means
• SVD(Singular Value Decomposition)
• PCA(Principal Component Analysis)
• LSA(Latent Semantic Analysis)
• PLSA(Probabilistic Latent Semantic Analysis)
• MCMC(Markov Chain Monte Carlo Method)
• LDA(Latent Dirichlet Allocation)
• PageRank

Computer Vision

Classification

• LeNet: Including Basic Tutorial
• AlexNet
• VGGNet
• NiN
• GoogleNet
• ResNet
• DenseNet

Object Detection

• R-CNN
• Fast R-CNN
• R-FCN
• YOLO Series
• SSD
• FPN

Semantic Segmentation

• U-Net Series

Instance Segmentation

• Mask R-CNN

Natural Language Processing

Lesson

• CS224N: Natural Language Processing 2022: 👈 Note, Assignment, Code and Papers here.

Packet

• NLTK
• Gensim
• SentencePiece
• sacreBLEU

Recurrent Neural Network

• RNN
• GRU
• LSTM
• Bi-RNN
• Encoder-Decoder
• Seq2Seq

Embedding

• Word2Vec | Cbow | Skip-gram
• Glove
• FastText
• ELMo

Model

Transformer

• Attention
• Base_Transformer : Docx : Colab
• Bert
• GTP
• XLNet
• MT-DNN

Generative Adversarial Networks

• BasicGAN
• CycleGAN
• CD-GAN
• StyleGAN

Graph Convolution Network

Embedding

• DeepWalk
• LINE
• GraRep
• TADW
• Node2Vec
• GraphGAN
• Struct2Vec
• GraphWave

Model

• GNN
• GCN
• Fast GCN
• GraphSAGE
• GAT