Skip to content

Latest commit

 

History

History
113 lines (78 loc) · 2.06 KB

README.md

File metadata and controls

113 lines (78 loc) · 2.06 KB

Algorithm Implementation

These are some algorithms I learned and Implemented by myself

Table of Contents

Pipeline

Deep Learning Basic

Algorithm
Softmax Regression
Multilayer Perceptron

Convolutional Neural Network

Algorithm
Convolutional Neural network
Fully Convolutional
LeNet5
VGG16
ResNet50, ResNet34
DenseNet121
Network in Network
FPN
UNet
ResNetUNet

Object Detection

Algorithm
YOLOv1
YOLOv3

Segmentation

Algorithm
MaskR-CNN

Autoencoder

Algorithm
Autoencoder
Convolutional Variational Autoencoder

GANs

Algorithm
GANs

Recurrent Neural Network

Algorithm
LSTM
NER-BiLSTM

Language Model

Algorithm
Transformer-XL

Fine Tuning

Projects
Methylation

Transfer Learning

Projects
Moyamoya

Lifelong Learning

Algorithm
LifeLong-Learning

Deployment

Projects
Train on Browser

Machine Learning

Algorithm

Reference