meta-pytorch / captumLinks
Model interpretability and understanding for PyTorch
☆5,496Updated this week
Alternatives and similar repositories for captum
Users that are interested in captum are comparing it to the libraries listed below
Sorting:
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,722Updated last week
- torch-optimizer -- collection of optimizers for Pytorch☆3,158Updated last year
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,383Updated this week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,141Updated last month
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,755Updated 3 weeks ago
- View model summaries in PyTorch!☆2,885Updated this week
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,322Updated last month
- A small package to create visualizations of PyTorch execution graphs☆3,475Updated 11 months ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,324Updated 2 months ago
- Code for visualizing the loss landscape of neural nets☆3,116Updated 3 years ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,291Updated last year
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,282Updated 4 months ago
- Accelerated deep learning R&D☆3,366Updated 5 months ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,066Updated last year
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,512Updated last year
- Bayesian optimization in PyTorch☆3,432Updated this week
- Pytorch Lightning code guideline for conferences☆1,280Updated 2 years ago
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,699Updated last week
- A simple way to calibrate your neural network.☆1,166Updated 4 months ago
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,986Updated last year
- Fast and Easy Infinite Neural Networks in Python☆2,365Updated last year
- Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)☆2,852Updated 2 years ago
- Algorithms for explaining machine learning models☆2,600Updated 2 months ago
- PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡☆5,069Updated last year
- A learning rate range test implementation in PyTorch☆994Updated 6 months ago
- High-quality implementations of standard and SOTA methods on a variety of tasks.☆1,551Updated last week
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,979Updated last month
- PyTorch extensions for high performance and large scale training.☆3,390Updated 7 months ago
- A hyperparameter optimization framework☆13,217Updated last week
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,856Updated last year