Alternatives and similar repositories for loss-landscapes

Users that are interested in loss-landscapes are comparing it to the libraries listed below

• logancyang / loss-landscape-anim
  Create animations for the optimization trajectory of neural nets
  ☆161Updated last year
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆216Updated 3 weeks ago
• AntixK / PyTorch-Model-Compare
  Compare neural networks by their feature similarity
  ☆378Updated 2 years ago
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆282Updated 3 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆383Updated last year
• omihub777 / ViT-CIFAR
  PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…
  ☆204Updated last year
• amirgholami / PyHessian
  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
  ☆764Updated 5 months ago
• yuanli2333 / CKA-Centered-Kernel-Alignment
  Reproduce CKA: Similarity of Neural Network Representations Revisited
  ☆311Updated 5 years ago
• microsoft / otdd
  Optimal Transport Dataset Distance
  ☆174Updated 3 years ago
• libffcv / ffcv-imagenet
  Train ImageNet *fast* in 500 lines of code with FFCV
  ☆149Updated last year
• wgrathwohl / JEM
  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"
  ☆426Updated 3 years ago
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆282Updated 2 years ago
• bethgelab / model-vs-human
  Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
  ☆358Updated 8 months ago
• facebookresearch / jacobian_regularizer
  A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.
  ☆129Updated 2 years ago
• google-research / sam
  ☆616Updated this week
• chrhenning / hypercl
  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…
  ☆170Updated 3 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆50Updated 4 years ago
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆161Updated last year
• jcpeterson / cifar-10h
  Original dataset release for CIFAR-10H
  ☆82Updated 5 years ago
• tjmoon0104 / pytorch-tiny-imagenet
  pytorch-tiny-imagenet
  ☆188Updated 3 weeks ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆120Updated 11 months ago
• allenai / hidden-networks
  ☆194Updated 3 weeks ago
• cybertronai / autograd-hacks
  ☆158Updated 3 years ago
• rahulvigneswaran / Lottery-Ticket-Hypothesis-in-Pytorch
  This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…
  ☆338Updated 2 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆602Updated last month
• verbiiyo / rigl-torch
  Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.
  ☆60Updated 4 years ago
• ganguli-lab / Synaptic-Flow
  ☆227Updated last year
• hendrycks / imagenet-r
  ImageNet-R(endition) and DeepAugment (ICCV 2021)
  ☆280Updated 4 years ago
• somepago / dbViz
  The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…
  ☆83Updated 3 years ago
• avirmaux / lipEstimation
  ☆59Updated 2 years ago