204 skills found · Page 1 of 7
ljvmiranda921 / Sprites As A ServiceGenerate your personal 8-bit avatars using Cellular Automata, a mathematical model that simulates life, survival, and extinction
square / PysurvivalOpen source package for Survival Analysis modeling
sktime / SkproA unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
archd3sai / Customer Survival Analysis And Churn PredictionIn this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calculate customer LTV. I have also implemented the Random Forest model to predict if a customer is going to churn and deployed a model using the flask web app.
gm-spacagna / Deep TtfSurvival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
shalabh147 / Brain Tumor Segmentation And Survival Prediction Using Deep Neural NetworksUse of state of the art Convolutional neural network architectures including 3D UNet, 3D VNet and 2D UNets for Brain Tumor Segmentation and using segmented image features for Survival Prediction of patients through deep neural networks.
mahmoodlab / SurvPathModeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction - CVPR 2024
rk2900 / DRSADeep 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.
tidymodels / CensoredParsnip wrappers for survival models
hammerlab / SurvivalstanLibrary of Stan Models for Survival Analysis
PathologyDataScience / SurvivalNetDeep learning survival models
HAIRLAB / Pre Surv COVID 19A machine learning-based model for survival prediction in COVID patients
liupei101 / TFDeepSurvCOX Proportional risk model and survival analysis implemented by tensorflow.
drizopoulos / JMbayes2Extended Joint Models for Longitudinal and Survival Data
MI2DataLab / SurvshapSurvSHAP(t): Time-dependent explanations of machine learning survival models
MGensheimer / Nnet SurvivalDiscrete-Time Survival Model for Neural Networks
luisvalesilva / MultisurvMultimodal deep learning model for long-term cancer survival prediction
Priyansh42 / Lung Cancer DetectionThis application aims to early detection of lung cancer to give patients the best chance at recovery and survival using CNN Model.
chjackson / FlexsurvThe flexsurv R package for flexible parametric survival and multi-state modelling
brian-j-smith / MachineShopMachineShop: R package of models and tools for machine learning
