ipekgani
Artificial Intelligence MSc Graduate from University of Amsterdam. Computer Science BSc graduate from Sabancı University, Istanbul
Amsterdam
Pinned Repositories
DataScience-ML-project
This is the term project is for Introduction to Data Science course, CS210, in Sabancı University.
Deep-Generative-Models
VAEs and GANs for MNIST (UvA 2019 Deep Learning course Assignment)
PyTorch-DeepLearning-Setup
PyTorch Setup adapted from Pix2Pix framework for implementing and training any Deep Learning model
RL-exercise-Cliff-Walking
Solving Cliff Walking (RL, Sutton & Barto, ex. 6.6.) using SARSA and Q-learning
Text-Generation-with-RNNs
Sequence generation using Deep Learning i.e. Recurrent Neural Nets (LSTMs)
uvadlc_practicals_2019
Lab assignments for the Deep Learning course at the University of Amsterdam, April-May 2019
QR
BoostingTextClassifiersByGenerativeModelling
Boosting a standard LSTM-based text classifier by generative modelling and subsequent lowering of out of distribution data (OOD) probabilities
ipekgani's Repositories
ipekgani/PyTorch-DeepLearning-Setup
PyTorch Setup adapted from Pix2Pix framework for implementing and training any Deep Learning model
ipekgani/RL-exercise-Cliff-Walking
Solving Cliff Walking (RL, Sutton & Barto, ex. 6.6.) using SARSA and Q-learning
ipekgani/Text-Generation-with-RNNs
Sequence generation using Deep Learning i.e. Recurrent Neural Nets (LSTMs)
ipekgani/DataScience-ML-project
This is the term project is for Introduction to Data Science course, CS210, in Sabancı University.
ipekgani/Deep-Generative-Models
VAEs and GANs for MNIST (UvA 2019 Deep Learning course Assignment)
ipekgani/uvadlc_practicals_2019
Lab assignments for the Deep Learning course at the University of Amsterdam, April-May 2019