Lê Ngọc Khả Nhi's repositories
Applied-Longitudinal-Data-Analysis-with-brms-and-the-tidyverse
Translating ML into Bayes, one line at a time
attention_keras
Keras Layer implementation of Attention
biobankAccelerometerAnalysis
Extracting meaningful health information from large accelerometer datasets
Biosignal-analysis
This repo is for tutorials of biosignal analysis
data-visualisation-scripts
Collection of scripts for data visualisation and good code practice.
deeplearning-tf2
Deep learning model zoo with TensorFlow 2.X (& Keras)
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.
Doing-Bayesian-Data-Analysis-in-brms-and-the-tidyverse
The bookdown version lives here: https://bookdown.org/content/3686
graph-theory
Python graph traversal algorithm implementation including BFS, DFS, Topological Sort, Dijkstra, Prim, Borůvka, Kruskal, A*, Bellman Ford, Bron Kerbosch
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
IntroductionAlgorithmsDataStructures
This repository contains the code associated with the "Introduction to Algorithms and Data Structures" Safari Video. https://www.oreilly.com/live-training/courses/introduction-to-algorithms-and-data-structures/0636920306535/
learn-bayes
learn bayesian with me
machine_learning_POC
The repository for various machine learning POC
MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
ml-from-scratch
All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
python-runstats
Python module for computing statistics and regression in a single pass.
rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
statistical-thinking-data-science
Meus estudos e experimentos para ajudar a consolidar os aprendizados relacionados aos fundamentos de estatística