DragosTana

Dragos Tanasa's repositories

boosting

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

Language:Python3 20

kmeans

KMeans algorithmn parallelized with OpenMP

Language:C++MIT3 10

image_processing

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

Language:C++MIT2 10

ml_homework

Repository containing all the assignments for the Statistical Learning course.

Language:Python2 10

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.

Language:PythonMIT2 10

cv_homework

Homeworks for the Computer Vision course

Language:Jupyter Notebook1 10

DragosTana

Config files for my GitHub profile.

1 10

Longformer

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

Language:Python1 20

proximity_gradient

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

Language:Python1 10

pure_pursuit

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

Language:C++100

pyndemic

Some cool pandemic models

Language:Python1 10

rnn_dynamics

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

Language:Python1 10

super_learner

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

Language:Python100