AndreeaMusat

Cascade-Correlation-Neural-Network

Stanford-CS109-Probability-for-computer-scientists

Courses, assignments & solutions for Stanford CS109

Laborator-programare-procedurala-2018-2019

Automatic-Number-Plate-Recognition

informed-exploration-via-next-state-prediction

machine_learning

ai-mas-challenges

Coding challenges for AI-MAS research topics.

algo

DAML-seminar-hyperbolic-ML

My paper for the DAML Seminar Selected Topics in Machine Learning Research, WS 2020/21

Deep-Learning-Image-Captioning

AndreeaMusat.github.io

coursework

school projects

DeepRelight

Deep Relighting Network for Image Light Source Manipulation

ElGamal-Encrypted-Text-Hidden-via-Steganography

gathering_mae

gpucb

Simple implementation of GP-UCB algorithm.

Guided-Research-TUM-Normalizing-Flows-Density-Estimation-on-Graphs

The final report of my Guided Research course in the DAML group at TUM.

issues_files

manopt

Manopt, a Matlab toolbox for optimization on manifolds

multi_illumination

mytest

PracticalSessions

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

PySFD

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-algorithms

TensorFlow-Tutorials

TensorFlow Tutorials with YouTube Videos

uva

uva online judge solved problems

variational-proteins

:microscope: Variational Proteins starter pack for the Advanced Machine Learning course at DTU Compute (Spring 2021)