kinokoberuji

Statistics-Python-Tutorials

R-Tutorials

Python-snipets

Data_analysis_IVF

Causal_Inference

Algorithms

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/

kmodes

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

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.

OGStats

probflow

A Python package for building Bayesian models with TensorFlow or PyTorch

pygraphs

Graphs clustering using kernel measures and estimators. Kernel KMeans, Spectral Clustering, Kernel Ward etc.

python-runstats

Python module for computing statistics and regression in a single pass.

REM-project

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