Hoda Fakharzadehjahromy's starred repositories
project-based-learning
Curated list of project-based tutorials
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
decision-forests
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
elements-of-statistical-learning
Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman
GANs_Python
This is a full guide on GANs from the book Generative Adversarial Networks with Python, Jason Brownlee
kth-statmeth-18
Assignments for DD2447. Monte carlo markov chains. Implementations of Gibbs sampling, Metropolis-Hastings as well as sequential monte carlo methods (particle filter)
BERT_binary_text_classification
Accompanying code for the Medium article