catalyst-team / catalystLinks
Accelerated deep learning R&D
☆3,362Updated 4 months ago
Alternatives and similar repositories for catalyst
Users that are interested in catalyst are comparing it to the libraries listed below
Sorting:
- PyTorch extensions for fast R&D prototyping and Kaggle farming☆1,558Updated 2 weeks ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,745Updated 3 weeks ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,706Updated last week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,123Updated last week
- torch-optimizer -- collection of optimizers for Pytorch☆3,146Updated last year
- 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code☆2,816Updated 2 years ago
- Live training loss plot in Jupyter Notebook for Keras, PyTorch and others☆1,317Updated 6 months ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,062Updated last year
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,341Updated last week
- On the Variance of the Adaptive Learning Rate and Beyond☆2,550Updated 4 years ago
- Pytorch Lightning code guideline for conferences☆1,280Updated 2 years ago
- Model interpretability and understanding for PyTorch☆5,435Updated this week
- Train AI models efficiently on medical images using any framework☆1,875Updated last year
- A learning rate range test implementation in PyTorch☆988Updated 4 months ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,292Updated last year
- A Python toolbox for performing gradient-free optimization☆4,122Updated 4 months ago
- An unofficial styleguide and best practices summary for PyTorch☆1,999Updated 3 years ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,851Updated last year
- PyTorch tutorials and best practices.☆1,699Updated 7 months ago
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,498Updated last year
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,347Updated this week
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,457Updated last month
- A simplified framework and utilities for PyTorch☆576Updated 5 months ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,319Updated 3 weeks ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,236Updated 2 months ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,242Updated 2 months ago
- scikit-learn cross validators for iterative stratification of multilabel data☆879Updated last year
- An end-to-end PyTorch framework for image and video classification☆1,610Updated last year
- Bayesian optimization in PyTorch☆3,378Updated this week
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,492Updated 3 months ago