sicara / tf-explainLinks
Interpretability Methods for tf.keras models with Tensorflow 2.x
☆1,036Updated last year
Alternatives and similar repositories for tf-explain
Users that are interested in tf-explain are comparing it to the libraries listed below
Sorting:
- Layers Outputs and Gradients in Keras. Made easy.☆1,053Updated 7 months ago
- A toolbox to iNNvestigate neural networks' predictions!☆1,306Updated 7 months ago
- Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)☆288Updated 5 years ago
- Live training loss plot in Jupyter Notebook for Keras, PyTorch and others☆1,320Updated 8 months ago
- Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.☆258Updated 6 months ago
- Code for the TCAV ML interpretability project☆648Updated 5 months ago
- Neural network visualization toolkit for tf.keras☆336Updated 8 months ago
- A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…☆761Updated 5 years ago
- Hyperparameter Experiments with TensorFlow and Keras☆1,639Updated last year
- A simplified framework and utilities for PyTorch☆577Updated 6 months ago
- ☆1,211Updated 5 years ago
- Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).☆989Updated last year
- A Hyperparameter Tuning Library for Keras☆2,914Updated 3 weeks ago
- RAdam implemented in Keras & TensorFlow☆325Updated 3 years ago
- scikit-learn cross validators for iterative stratification of multilabel data☆881Updated last year
- Web-based dashboard for Sacred☆548Updated 2 years ago
- A PyTorch implementation of Neighbourhood Components Analysis.☆398Updated 5 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆707Updated 4 years ago
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆935Updated last year
- Multi-class confusion matrix library in Python☆1,489Updated last week
- Bayesian active learning library for research and industrial usecases.☆912Updated last month
- Code for "High-Precision Model-Agnostic Explanations" paper☆812Updated 3 years ago
- Interesting resources related to XAI (Explainable Artificial Intelligence)☆840Updated 3 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆573Updated 3 years ago
- Some State-of-the-Art few shot learning algorithms in tensorflow 2☆213Updated 2 years ago
- PyTorch to Keras model convertor☆863Updated 2 years ago
- Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!☆281Updated 2 years ago
- Utilities for working with image data, text data, and sequence data.☆1,026Updated 3 years ago
- An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come☆867Updated last year
- Bayesian Deep Learning Benchmarks☆672Updated 2 years ago