Make Complex Heatmaps

Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification

Python OncoPrint library based on Matplotlib

PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)

Declarative creation of composable visualization for Python (Complex heatmap, Upset plot, Oncoprint and more~)

A Proxy-Based Algorithm for Explaining Survival Models with SHAP

SurvSHAP(t): Time-dependent explanations of machine learning survival models

Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

Survival analysis using Deep Learning.

Training neural networks in PyTorch

Pandas integration with sklearn

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

Tutorial on survival analysis using TensorFlow.

COX Proportional risk model and survival analysis implemented by tensorflow.

Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data

Deep survival analysis made easy

Comparing DeepHit and DeepSurv models on the SUPPORT dataset

Implementation of DeepSurv using Keras

DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

Survival analysis with PyTorch

Survival analysis built on top of scikit-learn

Survival analysis in Python

Open source package for Survival Analysis modeling

Application of Machine learning models in detection of atrial fibrillation detected after stroke