yohann84L / plot_metricLinks
Python package to simplify plotting of metric like ROC curve, confusion matrix etc..
☆70Updated last year
Alternatives and similar repositories for plot_metric
Users that are interested in plot_metric are comparing it to the libraries listed below
Sorting:
- Integrate image and tabular data for deep learning☆90Updated 2 years ago
- ☆25Updated 8 years ago
- Custom python functions to help you further analyse machine learning models and diagnostic test☆18Updated 5 months ago
- Multiple instance learning library for Python☆64Updated 4 years ago
- The fast version of DeLong's method for computing the covariance of unadjusted AUC.☆161Updated 2 months ago
- Cancer Detection from Microscopic Images by Fine-tuning Pre-trained Models ("Inception") for new class labels☆29Updated 5 years ago
- Covid-19 Detection Experiments☆36Updated 4 years ago
- ☆27Updated 3 years ago
- Constructed attention-based deep multiple instance learning model using PyTorch and trained on 624 whole slide images of digitized H&E-st…☆21Updated 3 years ago
- Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (Efficien…☆49Updated 5 years ago
- [PMB'2020] Melanoma Detection using Adversarial Training and Deep Transfer Learning☆32Updated 2 years ago
- Deep learning methods for feature selection in gene expression autism data.☆37Updated 3 years ago
- Deep Feature Selection using Teacher Student Network☆44Updated 6 years ago
- Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding☆30Updated last year
- A python implementation of the DeepInsight methodology.☆171Updated 2 months ago
- ☆28Updated 4 years ago
- An unofficial implementation of BYOL for self-supervised representation learning on CIFAR-10 (TensorFlow 2)☆23Updated 5 years ago
- Prognostically Relevant Subtypes and Survival Prediction for Breast Cancer Based on Multimodal Genomics Data☆29Updated 6 years ago
- Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"☆27Updated 3 years ago
- ☆13Updated 2 years ago
- Awesome artificial intelligence in cancer diagnostics and oncology☆160Updated 3 years ago
- This repository is a tutorial about survival analysis based on advanced machine learning methods including Random Forest, Gradient Boosti…☆33Updated 7 years ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆67Updated last year
- Easy to use class balanced cross entropy and focal loss implementation for Pytorch☆99Updated 11 months ago
- [AVI 2020] UTA4: Medical Imaging DICOM files dataset.☆17Updated 4 years ago
- SimTriplet: PyTorch Implementation☆27Updated 4 years ago
- An implementation of multimodal deep neural network, a new model for human breast cancer prognosis prediction.☆30Updated 7 years ago
- Tutorial on survival analysis using TensorFlow.☆47Updated 5 years ago
- Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human …☆49Updated 3 years ago
- Multi-class with imbalanced dataset classification☆84Updated 6 years ago