Dragos Tanasa

Longformer. A Pytorch implementation of Longformer: The Long-Document Transformer.

kmeans. KMeans algorithmn parallelized with OpenMP

boosting. Python implementation of Gradient Boosting and AdaBoost compatible with the Sklearn framework. Projects for the Statistical Learning course.

image_processing. 2D convolution in image processing parallelized with OpenMP and CUDA.

ml_homework. Repository containing all the assignments for the Statistical Learning course.

sucklearn. Add one for the sklearn library that implements new methods such as kenrel regression, super-learner framework, SOM clustering besides a few that are already implemented in the standard framework but i like to implement on my own.

DragosTana. Config files for my GitHub profile.

proximity_gradient. Repo containing a Python implementation of Proximity Gradient optimization algorithm and a logistic regression estimator.

pyndemic. Some cool pandemic models

rnn_dynamics. Analysis of the behavior of RNNs from a system dynamics point of view.

pure_pursuit. MPC is better but Pure Pursuit is easier, and thus better.

cv_homework. Homeworks for the Computer Vision course

super_learner. A parallel implementation of the Super Learner estimator in Python. Winner of the Statistical Learning course contest!