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.
仓库地址：👉https://github.com/JackHCC/Awesome-DL-Models👈
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简介：
项目旨在针对深度学习一步一步入门学习算法。
机器学习模型：
- 监督学习：感知机，KNN，朴素贝叶斯，决策树，SVM，HMM，CRF等等
- 无监督学习：聚类，SVD，PCA，LSA，PageRank等等
深度学习：
- 计算机视觉：经典模型
- 自然语言处理：
- CS224入门必备
- 经典模型复现
- 强化学习
- 图神经网络
- ……
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机器学习算法
Machine Learning Model
Statistical Learning Method
基于《统计学习方法》第二版-李航所有算法实现与笔记记录
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
计算机视觉
经典网络结构实现：
Computer Vision
Classification
Object Detection
- R-CNN
- Fast R-CNN
- R-FCN
- YOLO Series
- SSD
- FPN
Semantic Segmentation
- U-Net Series
Instance Segmentation
- Mask R-CNN
自然语言处理
包括经典方法和斯坦福CS224课程笔记，论文和作业代码
Natural Language Processing
Natural Language Processing
Lesson
- CS224N: Natural Language Processing 2022: 👈 Note, Assignment, Code and Papers here.
Packet
Recurrent Neural Network
Embedding
Model
Transformer
- Attention
- Base_Transformer : Docx : Colab
- Bert
- GTP
- XLNet
- MT-DNN
Generative Adversarial Networks
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
项目持续更新中……
https://github.com/JackHCC/Awesome-DL-Models
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?JackHCC
