jettify / pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
☆3,107Updated last year
Alternatives and similar repositories for pytorch-optimizer:
Users that are interested in pytorch-optimizer are comparing it to the libraries listed below
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,720Updated 3 weeks ago
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,039Updated last year
- On the Variance of the Adaptive Learning Rate and Beyond☆2,548Updated 3 years ago
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,651Updated last week
- Machine learning metrics for distributed, scalable PyTorch applications.☆2,258Updated this week
- Model interpretability and understanding for PyTorch☆5,195Updated this week
- Code for visualizing the loss landscape of neural nets☆2,972Updated 3 years ago
- Pytorch Lightning code guideline for conferences☆1,262Updated last year
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,280Updated last year
- View model summaries in PyTorch!☆2,771Updated last week
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,615Updated 3 years ago
- Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"☆1,060Updated 8 months ago
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,201Updated last year
- A small package to create visualizations of PyTorch execution graphs☆3,346Updated 4 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,882Updated last week
- An unofficial styleguide and best practices summary for PyTorch☆1,978Updated 3 years ago
- Pytorch library for fast transformer implementations☆1,701Updated 2 years ago
- A learning rate range test implementation in PyTorch☆955Updated last week
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,429Updated this week
- Profiling and inspecting memory in pytorch☆1,056Updated 9 months ago
- Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)☆2,720Updated last year
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,301Updated 3 weeks ago
- Codebase for Image Classification Research, written in PyTorch.☆2,153Updated last year
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,924Updated 10 months ago
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,867Updated last year
- Count the MACs / FLOPs of your PyTorch model.☆4,983Updated 9 months ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,645Updated 3 weeks ago
- A lightweight library for PyTorch training tools and utilities☆1,693Updated this week
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,827Updated last year
- tensorboard for pytorch (and chainer, mxnet, numpy, ...)☆7,933Updated this week