meta-pytorch / captumLinks
Model interpretability and understanding for PyTorch
☆5,517Updated last week
Alternatives and similar repositories for captum
Users that are interested in captum are comparing it to the libraries listed below
Sorting:
- torch-optimizer -- collection of optimizers for Pytorch☆3,159Updated last year
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,392Updated this week
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,723Updated this week
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,754Updated last week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,147Updated 3 weeks ago
- A small package to create visualizations of PyTorch execution graphs☆3,482Updated last year
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,347Updated last week
- Code for visualizing the loss landscape of neural nets☆3,127Updated 3 years ago
- The WeightWatcher tool for predicting the accuracy of Deep Neural Networks☆1,708Updated last month
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,066Updated last year
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,294Updated last year
- Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)☆2,854Updated 2 years ago
- Pytorch Lightning code guideline for conferences☆1,284Updated 2 years ago
- Bayesian optimization in PyTorch☆3,441Updated this week
- Algorithms for explaining machine learning models☆2,607Updated 2 months ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,292Updated 4 months ago
- View model summaries in PyTorch!☆2,891Updated 3 weeks ago
- 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code☆2,825Updated 2 years ago
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,515Updated last year
- A simple way to calibrate your neural network.☆1,168Updated 5 months ago
- Accelerated deep learning R&D☆3,365Updated 6 months ago
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,987Updated last year
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,326Updated last week
- GPU Accelerated t-SNE for CUDA with Python bindings☆1,917Updated last year
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,816Updated last week
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,859Updated last year
- On the Variance of the Adaptive Learning Rate and Beyond☆2,549Updated 4 years ago
- A learning rate range test implementation in PyTorch☆995Updated 6 months ago
- An unofficial styleguide and best practices summary for PyTorch☆2,004Updated 4 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,760Updated this week