JRigh

JRigh's Stars

• JRigh/MC-Integration-and-simulations-in-R-and-Python

  Monte Carlo (MC) Integration and simulations in R and Python

  Language:Jupyter Notebook11

• giabaio/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.

  Language:R4119

• to-mi/stan-survival-shrinkage

  Bayesian linear survival analysis with shrinkage priors in Stan

  Language:R249

• rk2900/DRSA

  Deep Recurrent Survival Analysis, an auto-regressive deep model for time-to-event data analysis with censorship handling. An implementation of our AAAI 2019 paper and a benchmark for several (Python) implemented survival analysis methods.

  Language:Python13857

• vankesteren/julia_for_statisticians

  Short live-coding intro to Julia for statisticians

  Language:Julia6

• keras-rl/keras-rl

  Deep Reinforcement Learning for Keras.

  Language:Python5.5k1.4k

• andri27-ts/Reinforcement-Learning

  Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

  Language:Jupyter Notebook4.2k620

• floodsung/Deep-Learning-Papers-Reading-Roadmap

  Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

  Language:Python37.9k7.3k

• dave-harrington/survival_workshop

  Survival analysis workshop using R

  Language:R4526

• sctyner/history_of_statistics

  Resources for learning about the history of statistics and statisticians. By statisticians, for statisticians.

  16617

• JRigh/Programming-languages-and-data-analysis-softwares---short-notes

  Short notes

  Language:Jupyter Notebook1

• JRigh/Basic-Statistics-handwritten-notes

  1

• stablemarkets/BayesianTutorials

  Implementing MCMC sampling from scratch in R for various Bayesian models

  Language:HTML10546

• erdogant/distfit

  distfit is a python library for probability density fitting.

  Language:Jupyter Notebook35625

• huyhieupham/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.

  Language:Python239

• quanghuy0497/Transformers4Vision

  A summarization of Transformer-based architectures for CV tasks, including image classification, object detection, segmentation, and Few-shot Learning. Keep updated frequently.

  10419

• quanghuy0497/Bayesian_Optimization

  Language:Jupyter Notebook31

• JRigh/Poisson-Gamma-example-in-R

  Example of Poisson-Gamma model in Bayesian analysis in R

  Language:R1

• JRigh/Beta-Model-Estimation-in-R-and-Python

  Method of Moments and Maximum Likelihood estimation for a Beta model

  Language:Jupyter Notebook1

• sksoumik/Forecasting-Weather-Using-Machine-Learning

  Forecasting weather Using Multinomial Logistic Regression, Decision Tree, Naïve Bayes Multinomial, and Support Vector Machine

  Language:Python3917