pytorch / igniteLinks
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
☆4,666Updated last week
Alternatives and similar repositories for ignite
Users that are interested in ignite are comparing it to the libraries listed below
Sorting:
- A scikit-learn compatible neural network library that wraps PyTorch☆6,046Updated last month
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,048Updated last year
- Model interpretability and understanding for PyTorch☆5,256Updated this week
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,945Updated last month
- torch-optimizer -- collection of optimizers for Pytorch☆3,114Updated last year
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,674Updated 3 weeks ago
- A small package to create visualizations of PyTorch execution graphs☆3,370Updated 5 months ago
- Accelerated deep learning R&D☆3,354Updated last year
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,832Updated last year
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,970Updated last month
- A lightweight library for PyTorch training tools and utilities☆1,698Updated last week
- On the Variance of the Adaptive Learning Rate and Beyond☆2,549Updated 3 years ago
- Debugging, monitoring and visualization for Python Machine Learning and Data Science☆3,442Updated last year
- Train AI models efficiently on medical images using any framework☆1,870Updated 11 months ago
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,730Updated last week
- Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.☆4,307Updated 6 months ago
- 🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code☆2,808Updated last year
- Bayesian optimization in PyTorch☆3,279Updated this week
- PyTorch extensions for high performance and large scale training.☆3,329Updated last month
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆6,158Updated last month
- Models, data loaders and abstractions for language processing, powered by PyTorch☆3,544Updated this week
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,285Updated last year
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,285Updated last week
- Flax is a neural network library for JAX that is designed for flexibility.☆6,605Updated this week
- A Python toolbox for performing gradient-free optimization☆4,077Updated last week
- A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)☆5,568Updated last month
- Enabling PyTorch on XLA Devices (e.g. Google TPU)☆2,619Updated this week
- A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep lear…☆5,421Updated last week
- An optimizer that trains as fast as Adam and as good as SGD.☆2,915Updated last year
- Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.☆29,574Updated this week