Machine Learning & AI

In this repository, I save my personal coursework material and projects

Large Language Models

• Fine tune GPT-2 to write British literature
• Fine tune BERT for text classification

Transfer learning

• Transfer learning with CNNs using tensorflow hub
• Transfer learning with CNNs with Keras

Bayesian modeling

Bayesian Modeling assigments

• Variational Auto Encoder to generate faces
• Probabilistic modeling with PyMC3, Metropolis Hastings

Reinforcement learning

Practical reinforcement learning assignments [dir]

• Recap tensorflow
• Cross-entropy method
• SARSA
• Value Iteration (VI) and Policy Iteration (PI) with Markov Decision Process (MDP)
• Q-learning
• Experience replay within Q-learning
• Approximate Deep Q-learning
• Deep Q-network (approximate Q-learning with experience replay and target networks)
• Reinforce
• Advantage Actor Critic
• Planing into learning: Monte Carlo Tree Search with UCB1-based node selection

Deep learning AI assignments

Computer vision

• Art generaton with neural style transfer
• Car detection with YOLO
• CNN for image classification
• Convolutions step-by-step
• Face recognition with FaceNet

Recurrent Neural Networks

• Jazz improvization with LSTM

Language Models with RNNs

• Name generation with RNNs
• Machine translation with attention
• Operations on word vectors, recap

General Deep Neural Networks

• Two-layer neural network for image classification
• Logistic regression with a neural network mindset
• Deep neural network in TF, step-by-step
• Simple neural network with TF and dropout regularization
• Simple neural network with TF
• Binary classification with one hidden layer

Content recommender

This is part of the CDIPS Data Science 2017 Workshop.
This project makes use of generic data science tools: data extraction/cleaning, web scraping, natural language processing, machine learning models, web servers, using flask to query SQLite databases, and A/B testing to validate our recommender.
Click here to goto the repository.
Watch demo at [ youtube ].

User network graph

A user network graph in python. I keep track of purchases and tag anoumalous events. See [ graph ].