Julian Sampedro's starred repositories
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
history_of_statistics
Resources for learning about the history of statistics and statisticians. By statisticians, for statisticians.
BayesianTutorials
Implementing MCMC sampling from scratch in R for various Bayesian models
Transformers4Vision
A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.
survival_workshop
Survival analysis workshop using R
survHE
Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.
Forecasting-Weather-Using-Machine-Learning
Forecasting weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine
stan-survival-shrinkage
Bayesian linear survival analysis with shrinkage priors in Stan
Object-Detection-and-Counting-Faster-R-CNN
A vision-based tool for transport system flow analysis using Faster R-CNN. This system is able to detect different types of objects, e.g., cars, buses, pedestrians, and classify as well as count them in transport videos with a real-time speech.
julia_for_statisticians
Short live-coding intro to Julia for statisticians
MC-Integration-and-simulations-in-R-and-Python
Monte Carlo (MC) Integration and simulations in R and Python
Beta-Model-Estimation-in-R-and-Python
Method of Moments and Maximum Likelihood estimation for a Beta model
Poisson-Gamma-example-in-R
Example of Poisson-Gamma model in Bayesian analysis in R