Pinned Repositories
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
SalK91's Repositories
SalK91/cv_clicknsegment
Implementation of Yolo and PolyRNN inference for semantic segmentation
SalK91/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
SalK91/bayestestR
:ghost: Utilities for analyzing Bayesian models and posterior distributions
SalK91/Coursera-MLOPs-Foundations-Lab-1-CICD
Labs for Duke Coursera Course on MLOps Foundations
SalK91/Cpp_projects
Source Code and Starter Code for Accelerated Computer Science Fundamentals Specialization on Coursera
SalK91/data_drift_measures
data drift measure
SalK91/Deep-learning-course-repo
SalK91/DeepLearningExamples
Deep Learning Examples
SalK91/dfs_tutorial
SalK91/dlaicourse
Notebooks for learning deep learning
SalK91/emoji-cheat-sheet
A markdown version emoji cheat sheet
SalK91/Flask-ML-Pipeline_GCP-Tutorial
SalK91/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.
SalK91/introduction_to_computational_statistics
SalK91/it-cert-automation-practice
Google IT Automation with Python Professional Certificate - Practice files
SalK91/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.
SalK91/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
SalK91/ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
SalK91/ModernDive_book
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
SalK91/nlp_practise
nlp
SalK91/pymc-resources
PyMC educational resources
SalK91/SalK91
SalK91/SalK91.github.io
SalK91/tensorflow-1-public
SalK91/the-unix-workbench
:house_with_garden: A Book for Anyone to Get Started with Unix
SalK91/u-net-aerial-imagery-segmentation
Semantic Segmentation of MBRSC Aerial Imagery of Dubai Using a TensorFlow U-Net Model in Python
SalK91/laughter-detection
SalK91/notes
Course notes
SalK91/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 ;)
SalK91/time_series_101