mdyesilyaprak

mdyesilyaprak's Stars

• liupei101/Tutorial-Machine-Learning-Based-Survival-Analysis

  This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosting Tree and XGBoost. All of them are implemented in R.

  Language:Jupyter Notebook2913

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++26.1k8.7k

• loft-br/xgboost-survival-embeddings

  Improving XGBoost survival analysis with embeddings and debiased estimators

  Language:Python32153

• jameslu01/Compute_HazRatio_ML

  Data for publication "Computing the Hazard Ratios Associated with Explanatory Variables Using Machine Learning Models of Survival Data"

  Language:Jupyter Notebook41

• 360digitech/GBST

  GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost

  Language:Cuda358

• Wrymm/Random-Survival-Forests

  Language:Python179

• julianspaeth/random-survival-forest

  A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

  Language:Python598

• mbadry1/Top-Deep-Learning

  Top 200 deep learning Github repositories sorted by the number of stars.

  Language:Python1.7k426

• douyang/EchoNetDynamic

  EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.

  304

• mbadry1/CS231n-2017-Summary

  After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

  Language:Python1.5k461

• mbadry1/DeepLearning.ai-Summary

  This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

  Language:Python5.1k2.4k

• fastai/fastbook

  The fastai book, published as Jupyter Notebooks

  Language:Jupyter Notebook21.6k8.4k

• stephencwelch/Neural-Networks-Demystified

  Supporting code for short YouTube series Neural Networks Demystified.

  Language:Jupyter Notebook1.3k569

• Benlau93/Machine-Learning-by-Andrew-Ng-in-Python

  Documenting my python implementation of Andrew Ng's Machine Learning course

  Language:Jupyter Notebook311240