top of page

AI Technology Library 

Paradigms
Approaches

!

Key Algorithms

!

Supervised 
Learning 

Linear Regression

CART

Logistic Regression

Random Forest

SVM

XGBoost

kNN

LightGBM

VGG-Net

LSTM

ResNet

GRU

3D-CNN

Graph NN

Two-Stream CNN

Siamese NN

Unsupervised 
Learning 

K-means

PCA

DBSCAN

ICA

Gaussian MM

LDA

LOF

Isolation Forest

Autoencoder

BERT

Variational AE

LLaMA

Latent Diffusion

GPT-3

GAN

GPT-4

Reinforcement 
Learning 

Thompson Sampling

Q-learning

UCB

SARSA

Value Iteration

REINFORCE

Monte Carlo

PPO

DQN

A2C

Dueling DQN

NAF

Deep TRPO

A3C

SAC

Deep Dyna-Q

bottom of page