catalyst-team / catalystLinks
Accelerated deep learning R&D
☆3,354Updated last year
Alternatives and similar repositories for catalyst
Users that are interested in catalyst 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.☆4,671Updated last week
- A scikit-learn compatible neural network library that wraps PyTorch☆6,059Updated 2 weeks ago
- PyTorch extensions for fast R&D prototyping and Kaggle farming☆1,547Updated this week
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,730Updated 3 weeks ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,118Updated last year
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,315Updated 7 months ago
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,284Updated last year
- Model interpretability and understanding for PyTorch☆5,278Updated this week
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,049Updated last year
- A small package to create visualizations of PyTorch execution graphs☆3,384Updated 5 months ago
- 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code☆2,821Updated 2 years ago
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,294Updated last week
- Hummingbird compiles trained ML models into tensor computation for faster inference.☆3,447Updated 2 months ago
- Pytorch Lightning code guideline for conferences☆1,269Updated last year
- ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling …☆6,059Updated last week
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,445Updated last year
- cuML - RAPIDS Machine Learning Library☆4,786Updated last week
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,450Updated last year
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,001Updated this week
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,833Updated last year
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…☆5,439Updated this week
- PyTorch tutorials and best practices.☆1,689Updated 3 months ago
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,304Updated 2 months ago
- Bayesian optimization in PyTorch☆3,289Updated this week
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,942Updated last year
- A learning rate range test implementation in PyTorch☆967Updated this week
- Make huge neural nets fit in memory☆2,797Updated 5 years ago
- Serve, optimize and scale PyTorch models in production☆4,340Updated last week
- On the Variance of the Adaptive Learning Rate and Beyond☆2,549Updated 3 years ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,690Updated last week