Pinned Repositories
IMDB-Sentiment-Analysis-PyTorch
Neural Network for classifying movie reviews as positive/negative using IMDB dataset
ml-tracking-ops
MLOps Python library/platform for tracking machine learning projects
MTCNN-pytorch
PyTorch implementation of Multi Task CNN paper for face detection
Multivariate-Time-Series-Forecast
Forecast of the level of pollution in the next hour in Beijing based on historical information
particle-swarm-optimization-for-classification
Particle Swarm Optimization algorithm for detecting forged banknotes.
pytorch-GCN
PyTorch implementation of the Graph Convolutional Network by Kipf et al.
pytorch-image-captioning
Transformer & CNN Image Captioning model in PyTorch.
pytorch-NER
Named Entity Recognition in PyTorch on CoNLL2003 dataset
Q-learning-block-world
Q-learning and Q-value iteration algorithms for the Block-World environment.
Univariate-Time-Series-Forecasting
Forecast of next month's number of car sales based on historical information
senadkurtisi's Repositories
senadkurtisi/pytorch-image-captioning
Transformer & CNN Image Captioning model in PyTorch.
senadkurtisi/pytorch-GCN
PyTorch implementation of the Graph Convolutional Network by Kipf et al.
senadkurtisi/pytorch-NER
Named Entity Recognition in PyTorch on CoNLL2003 dataset
senadkurtisi/Multivariate-Time-Series-Forecast
Forecast of the level of pollution in the next hour in Beijing based on historical information
senadkurtisi/IMDB-Sentiment-Analysis-PyTorch
Neural Network for classifying movie reviews as positive/negative using IMDB dataset
senadkurtisi/MTCNN-pytorch
PyTorch implementation of Multi Task CNN paper for face detection
senadkurtisi/ml-tracking-ops
MLOps Python library/platform for tracking machine learning projects
senadkurtisi/particle-swarm-optimization-for-classification
Particle Swarm Optimization algorithm for detecting forged banknotes.
senadkurtisi/Univariate-Time-Series-Forecasting
Forecast of next month's number of car sales based on historical information
senadkurtisi/Q-learning-block-world
Q-learning and Q-value iteration algorithms for the Block-World environment.
senadkurtisi/Data-Challenge
Solution to The Nordeus Data Challenge
senadkurtisi/neural-style-transfer
Implementation of the original Neural Style Transfer paper in PyTorch.
senadkurtisi/pattern-recognition
Pattern Recognition algorithms and methods: Hypothesis tests, Wald's Sequential Test, Linear and Quadratic Classifiers, Clustering Methods (K-means and Square Error).