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I like neural networks

Dragos Tanasa's Projects

boosting icon boosting

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

kmeans icon kmeans

KMeans algorithmn parallelized with OpenMP

longformer icon longformer

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

ml_homework icon ml_homework

Repository containing all the assignments for the Statistical Learning course.

proximity_gradient icon proximity_gradient

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

pure_pursuit icon pure_pursuit

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

rnn_dynamics icon rnn_dynamics

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

sucklearn icon 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.

super_learner icon super_learner

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

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