tomgoldstein / loss-landscape

Related projects ⓘ

Alternatives and complementary repositories for loss-landscape

• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,038Updated 7 months ago
• paperswithcode / releasing-research-code
  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
  ☆2,584Updated last year
• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,219Updated 7 months ago
• IgorSusmelj / pytorch-styleguide
  An unofficial styleguide and best practices summary for PyTorch
  ☆1,927Updated 2 years ago
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,691Updated this week
• sksq96 / pytorch-summary
  Model summary in PyTorch similar to `model.summary()` in Keras
  ☆4,016Updated 8 months ago
• facebookresearch / vissl
  VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
  ☆3,257Updated 8 months ago
• davda54 / sam
  SAM: Sharpness-Aware Minimization (PyTorch)
  ☆1,767Updated 8 months ago
• waleedka / hiddenlayer
  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
  ☆1,796Updated 8 months ago
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,589Updated 2 years ago
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆4,918Updated this week
• Lightning-AI / torchmetrics
  Machine learning metrics for distributed, scalable PyTorch applications.
  ☆2,134Updated this week
• google / neural-tangents
  Fast and Easy Infinite Neural Networks in Python
  ☆2,277Updated 8 months ago
• jason718 / awesome-self-supervised-learning
  A curated list of awesome self-supervised methods
  ☆6,159Updated 4 months ago
• Lightning-AI / deep-learning-project-template
  Pytorch Lightning code guideline for conferences
  ☆1,239Updated last year
• ufoym / imbalanced-dataset-sampler
  A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
  ☆2,268Updated last month
• hendrycks / robustness
  Corruption and Perturbation Robustness (ICLR 2019)
  ☆1,019Updated 2 years ago
• facebookresearch / fvcore
  Collection of common code that's shared among different research projects in FAIR computer vision team.
  ☆2,017Updated 3 weeks ago
• ptrblck / pytorch_misc
  Code snippets created for the PyTorch discussion board
  ☆543Updated 3 years ago
• pytorch / tnt
  A lightweight library for PyTorch training tools and utilities
  ☆1,662Updated this week
• pytorch / ignite
  High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
  ☆4,523Updated this week
• Lyken17 / pytorch-OpCounter
  Count the MACs / FLOPs of your PyTorch model.
  ☆4,875Updated 4 months ago
• TylerYep / torchinfo
  View model summaries in PyTorch!
  ☆2,587Updated this week
• KevinMusgrave / pytorch-metric-learning
  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
  ☆6,007Updated last week
• facebookresearch / pycls
  Codebase for Image Classification Research, written in PyTorch.
  ☆2,137Updated 7 months ago
• lucidrains / byol-pytorch
  Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
  ☆1,759Updated 3 months ago
• idiap / fast-transformers
  Pytorch library for fast transformer implementations
  ☆1,642Updated last year
• LiyuanLucasLiu / RAdam
  On the Variance of the Adaptive Learning Rate and Beyond
  ☆2,535Updated 3 years ago
• Stonesjtu / pytorch_memlab
  Profiling and inspecting memory in pytorch
  ☆1,018Updated 3 months ago
• tristandeleu / pytorch-meta
  A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
  ☆1,982Updated last year