← Jaber Notes
Reference
Model Zoo
A wide catalogue of ML/DL model families, for breadth and recall.
A breadth-first catalogue: dozens of model families grouped by type, useful for spotting gaps and for the "name some models that…" style of viva question.
📌 Linear Models
- Linear Regression
- Ridge Regression
- Lasso Regression
- Elastic Net
- Logistic Regression
- Bayesian Linear Regression
🌳 Tree-Based Models
- Decision Tree
- Random Forest
- Extra Trees
- Gradient Boosting
- AdaBoost
- XGBoost
- LightGBM
- CatBoost
📊 Distance-Based / Clustering
- K-Nearest Neighbors (KNN)
- K-Means
- K-Medoids
- DBSCAN
- OPTICS
- Hierarchical Clustering
- Mean Shift
🎯 Support Vector & Kernel Methods
- Support Vector Machine (SVM)
- Support Vector Regression (SVR)
- Kernel Ridge Regression
- Gaussian Processes
🧬 Probabilistic Models
- Naive Bayes (Gaussian, Multinomial, Bernoulli)
- Gaussian Mixture Model (GMM)
- Hidden Markov Model (HMM)
🧠 Neural Networks (Core)
- Perceptron
- Multi-Layer Perceptron (MLP)
- Radial Basis Function Network (RBFN)
🧠 Deep Learning Architectures
- Convolutional Neural Network (CNN)
- Recurrent Neural Network (RNN)
- LSTM
- GRU
- Transformer
- Vision Transformer (ViT)
- ResNet
- DenseNet
- EfficientNet
- U-Net
🎨 Generative Models
- Generative Adversarial Network (GAN)
- Conditional GAN (cGAN)
- CycleGAN
- StyleGAN
- Variational Autoencoder (VAE)
- Diffusion Models
- Normalizing Flows
🧬 Probabilistic Graphical Models
- Bayesian Network
- Dynamic Bayesian Network
- Markov Random Field (MRF)
- Conditional Random Field (CRF)
🕸️ Graph-Based Models
- Graph Neural Network (GNN)
- Graph Convolutional Network (GCN)
- Graph Attention Network (GAT)
- GraphSAGE
🔁 Sequence / NLP Models
- Seq2Seq (Encoder–Decoder)
- Attention Models
- Transformer (BERT, GPT, T5)
- Word2Vec
- GloVe
- FastText
🎮 Reinforcement Learning
- Q-Learning
- SARSA
- Deep Q Network (DQN)
- Policy Gradient
- Actor-Critic
- PPO (Proximal Policy Optimization)
- A3C / A2C
📈 Time Series Models
- AR (AutoRegressive)
- MA (Moving Average)
- ARMA
- ARIMA
- SARIMA
- Prophet
🧩 Dimensionality Reduction
- Principal Component Analysis (PCA)
- Kernel PCA
- Singular Value Decomposition (SVD)
- t-SNE
- UMAP
- Autoencoders
🔍 Anomaly Detection
- Isolation Forest
- One-Class SVM
- Local Outlier Factor (LOF)
- Elliptic Envelope
🧠 Energy-Based Models
- Boltzmann Machine
- Restricted Boltzmann Machine (RBM)
- Deep Belief Network (DBN)
🧩 Recommender Systems
- Matrix Factorization
- Alternating Least Squares (ALS)
- Factorization Machines (FM)
🎲 Bandit Algorithms
- Multi-Armed Bandit
- UCB (Upper Confidence Bound)
- Thompson Sampling
🔄 Evolutionary Algorithms
- Genetic Algorithm
- Genetic Programming
- Neuroevolution (NEAT)
⚙️ Ensemble / Meta Models
- Bagging
- Boosting
- Stacking
- Blending
🧠 Specialized / Hybrid
- Deep Averaging Network (DAN)
- Memory Networks
- Neural Turing Machine
- Capsule Networks
- Neuro-Symbolic Models
- RuleFit