jettify / pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
☆3,012Updated 5 months ago
Related projects: ⓘ
- Code for visualizing the loss landscape of neural nets☆2,770Updated 2 years ago
- Model interpretability and understanding for PyTorch☆4,810Updated this week
- Toolbox of models, callbacks, and datasets for AI/ML researchers.☆1,678Updated this week
- A small package to create visualizations of PyTorch execution graphs☆3,168Updated 5 months ago
- The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.☆5,949Updated last week
- Model summary in PyTorch similar to `model.summary()` in Keras☆4,001Updated 6 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆8,362Updated this week
- On the Variance of the Adaptive Learning Rate and Beyond☆2,535Updated 3 years ago
- Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.☆2,077Updated this week
- VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.☆3,249Updated 6 months ago
- Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)☆2,568Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,512Updated this week
- Pytorch Lightning code guideline for conferences☆1,228Updated 11 months ago
- View model summaries in PyTorch!☆2,499Updated last week
- A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.☆2,251Updated 2 months ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,581Updated 2 years ago
- SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners☆4,049Updated last year
- Pytorch library for fast transformer implementations☆1,621Updated last year
- A learning rate range test implementation in PyTorch☆912Updated 3 weeks ago
- SAM: Sharpness-Aware Minimization (PyTorch)☆1,742Updated 6 months ago
- Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.☆1,789Updated 7 months ago
- Profiling and inspecting memory in pytorch☆1,013Updated last month
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,303Updated 2 weeks ago
- An unofficial styleguide and best practices summary for PyTorch☆1,900Updated 2 years ago
- Reformer, the efficient Transformer, in Pytorch☆2,097Updated last year
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,348Updated 5 months ago
- Fast and Easy Infinite Neural Networks in Python☆2,267Updated 6 months ago
- Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"☆1,044Updated last month
- Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase☆1,185Updated 8 months ago
- PyTorch deep learning projects made easy.☆4,700Updated 3 months ago