Alternatives and similar repositories for tf-explain

Users that are interested in tf-explain are comparing it to the libraries listed below

• philipperemy / keract
  Layers Outputs and Gradients in Keras. Made easy.
  ☆1,053Updated 4 months ago
• albermax / innvestigate
  A toolbox to iNNvestigate neural networks' predictions!
  ☆1,303Updated 4 months ago
• marcoancona / DeepExplain
  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also in…
  ☆754Updated 4 years ago
• tensorflow / tcav
  Code for the TCAV ML interpretability project
  ☆642Updated 2 months ago
• surmenok / keras_lr_finder
  Plots the change of the loss function of a Keras model when the learning rate is exponentially increasing.
  ☆258Updated 2 months ago
• autonomio / talos
  Hyperparameter Experiments with TensorFlow and Keras
  ☆1,638Updated last year
• titu1994 / keras-one-cycle
  Implementation of One-Cycle Learning rate policy (adapted from Fast.ai lib)
  ☆286Updated 5 years ago
• keisen / tf-keras-vis
  Neural network visualization toolkit for tf.keras
  ☆331Updated 5 months ago
• stared / livelossplot
  Live training loss plot in Jupyter Notebook for Keras, PyTorch and others
  ☆1,318Updated 4 months ago
• GRAAL-Research / poutyne
  A simplified framework and utilities for PyTorch
  ☆575Updated 3 months ago
• PAIR-code / saliency
  Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
  ☆982Updated last year
• bckenstler / CLR
  ☆1,207Updated 5 years ago
• szymonmaszke / torchlayers
  Shape and dimension inference (Keras-like) for PyTorch layers and neural networks
  ☆570Updated 3 years ago
• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆839Updated 3 years ago
• CyberZHG / keras-radam
  RAdam implemented in Keras & TensorFlow
  ☆326Updated 3 years ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆398Updated 4 years ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆804Updated 3 years ago
• sebastian-lapuschkin / lrp_toolbox
  The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Py…
  ☆334Updated 3 years ago
• vivekratnavel / omniboard
  Web-based dashboard for Sacred
  ☆549Updated 2 years ago
• sherpa-ai / sherpa
  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
  ☆339Updated 4 years ago
• EthicalML / xai
  XAI - An eXplainability toolbox for machine learning
  ☆1,195Updated 3 years ago
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,899Updated 8 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,550Updated 2 months ago
• Trusted-AI / AIX360
  Interpretability and explainability of data and machine learning models
  ☆1,718Updated 5 months ago
• uber / manifold
  A model-agnostic visual debugging tool for machine learning
  ☆1,669Updated 6 months ago
• sepandhaghighi / pycm
  Multi-class confusion matrix library in Python
  ☆1,484Updated last week
• mariusbrataas / flowpoints_ml
  An intuitive approach to creating deep learning models
  ☆373Updated 2 years ago
• trent-b / iterative-stratification
  scikit-learn cross validators for iterative stratification of multilabel data
  ☆878Updated 10 months ago
• guildai / guildai
  Experiment tracking, ML developer tools
  ☆889Updated 3 months ago
• ankurtaly / Integrated-Gradients
  Attributing predictions made by the Inception network using the Integrated Gradients method
  ☆634Updated 3 years ago