ioangatop/machine_learning_2

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Created about 5 years ago
Updated about 5 years ago

ioangatop/machine_learning_2

ioangatop

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Repository of UvA's lab exercises for the course "Machine Learning 2" 2019.

srVAE

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

super_tml

PyTorch implementation of SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data paper

AutonomousCar

DeepGenerativeModels

Variational Auto Encoders (VAEs), Generative Adversarial Networks (GANs) and Generative Normalizing Flows (NFs) and are the most famous and powerful deep generative models.

MachineLearning

Implementation and analysis of core Machine Learning Algorithms from scratch.

Jupyter Notebook

DataMining

Data Mining techniques on predicting mood using time-series analysis in mental health and predicting the click behaviour of users in a hotel ranking system.

Jupyter Notebook

yolo

DeepLearning

Deep learning techniques on classification tasks (MLP, CNN), analysis of sequential data (RNN) and implementation of generative models (VAE, GAN and NF).