Tran Le's repositories
2022_mri_classification
2022_mri_classification
dl_book
legend
em-intro-mixture-gaussian
An introduction to EM algorithm for Gaussian mixture models and Factor Analysis
hyde
A brazen two-column theme for Jekyll.
itcr2023_workshop
Practicing for ITCR_2023 workshop
learn_bcnn_book
This is a blog that contains jupyter notebooks that I have been practicing when I read the book [Probabilistic Deep Learning With Python, Keras and TensorFlow Probability by Oliver Dürr, Beate Sick, and Elvis Murina](https://www.manning.com/books/probabilistic-deep-learning), the table of content to the book's jupyter notebook files can be found from [here](https://tensorchiefs.github.io/dl_book/).
learn_fastai
A personal brief note for learning fastai given by Jeremy Howard
ml_with_r_h2o
A project using ML with R_h2o
r-random-tricks
Some random R observations/tricks
random_python_tricks
Random Python tricks/observation
randomtopics
Random Topics
read_ml_book
Note written when I read the book "The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition"
xaringan
Presentation Ninja 幻灯忍者 · 写轮眼