salk91 Goto Github PK

advanced-stan

For the advanced Stan course

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

bayestestr

:ghost: Utilities for analyzing Bayesian models and posterior distributions

coursera-mlops-foundations-lab-1-cicd

Labs for Duke Coursera Course on MLOps Foundations

cpp_projects

Source Code and Starter Code for Accelerated Computer Science Fundamentals Specialization on Coursera

cv_clicknsegment

Implementation of Yolo and PolyRNN inference for semantic segmentation

data_drift_measures

data drift measure

deep-learning-course-repo

deeplearningexamples

Deep Learning Examples

dfs_tutorial

dlaicourse

Notebooks for learning deep learning

docker-cheatsheet

The ultimate command line guide for Docker

emoji-cheat-sheet

A markdown version emoji cheat sheet

flask-exercise

Tutorial for a basic Flask app, assuming some knowledge of Python3

flask-ml-pipeline_gcp-tutorial

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

introduction_to_computational_statistics

it-cert-automation-practice

Google IT Automation with Python Professional Certificate - Practice files

jh-mathematical-biostatistics-bootcamp-course-materials-caffo

A repository of my Coursera latex code and notes

laughter-detection

lm

A github repo for the advanced linear models for data science book

mathematicsbiostatisticsbootcamp2

The github repository for mathematical biostatistics bootcamp 2

mathgenerator

A math problem generator, created for the purpose of giving self-studying students and teaching organizations the means to easily get access to high-quality, generated math problems to suit their needs.

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

moderndive_book

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

nlp_practise

nlp

notes

Course notes

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 ;)

pymc-resources

PyMC educational resources