Alternatives and similar repositories for captum

Users that are interested in captum are comparing it to the libraries listed below

• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,701Updated last week
• Lightning-AI / torchmetrics
  Machine learning metrics for distributed, scalable PyTorch applications.
  ☆2,337Updated last week
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,141Updated last year
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,115Updated last month
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,741Updated last month
• arogozhnikov / einops
  Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
  ☆9,205Updated last month
• ufoym / imbalanced-dataset-sampler
  A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
  ☆2,318Updated 2 months ago
• TylerYep / torchinfo
  View model summaries in PyTorch!
  ☆2,861Updated last week
• facebookresearch / vissl
  VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
  ☆3,289Updated last year
• KevinMusgrave / pytorch-metric-learning
  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
  ☆6,234Updated last month
• automl / Auto-PyTorch
  Automatic architecture search and hyperparameter optimization for PyTorch
  ☆2,488Updated last year
• sksq96 / pytorch-summary
  Model summary in PyTorch similar to `model.summary()` in Keras
  ☆4,061Updated last year
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,279Updated 2 years ago
• tomgoldstein / loss-landscape
  Code for visualizing the loss landscape of neural nets
  ☆3,075Updated 3 years ago
• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,433Updated 9 months ago
• libffcv / ffcv
  FFCV: Fast Forward Computer Vision (and other ML workloads!)
  ☆2,974Updated last year
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,164Updated 2 months ago
• paperswithcode / releasing-research-code
  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
  ☆2,828Updated 2 years ago
• catalyst-team / catalyst
  Accelerated deep learning R&D
  ☆3,362Updated 3 months ago
• SeldonIO / alibi
  Algorithms for explaining machine learning models
  ☆2,559Updated last week
• NVIDIA / apex
  A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
  ☆8,812Updated this week
• lanpa / tensorboardX
  tensorboard for pytorch (and chainer, mxnet, numpy, ...)
  ☆7,964Updated 3 weeks ago
• waleedka / hiddenlayer
  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
  ☆1,852Updated last year
• CalculatedContent / WeightWatcher
  The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
  ☆1,663Updated 3 months ago
• LiyuanLucasLiu / RAdam
  On the Variance of the Adaptive Learning Rate and Beyond
  ☆2,550Updated 4 years ago
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,358Updated last year
• CannyLab / tsne-cuda
  GPU Accelerated t-SNE for CUDA with Python bindings
  ☆1,882Updated last year
• hila-chefer / Transformer-Explainability
  [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize …
  ☆1,934Updated last year
• meta-pytorch / botorch
  Bayesian optimization in PyTorch
  ☆3,353Updated last week
• albermax / innvestigate
  A toolbox to iNNvestigate neural networks' predictions!
  ☆1,303Updated 5 months ago