Alternatives and similar repositories for Sassha

Users that are interested in Sassha are comparing it to the libraries listed below

• LOG-postech / SAM-overparam
  [UAI 2025] Official code for reproducing paper "Critical Influence of Overparameterization on Sharpness-aware Minimization"
  ☆19Updated 6 months ago
• edong6768 / Malet
  🔨 Malet (Machine Learning Experiment Tool) is a tool for efficient machine learning experiment execution, logging, analysis, and plot ma…
  ☆17Updated 6 months ago
• LOG-postech / ZIP
  ☆17Updated 2 weeks ago
• amirgholami / PyHessian
  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
  ☆758Updated 4 months ago
• LOG-postech / rethinking-LLM-pruning
  ☆28Updated 9 months ago
• ssbin4 / Closer-Intervention-CBM
  ☆25Updated last year
• devansh20la / LPF-SGD
  ☆17Updated 2 years ago
• calgaryml / condensed-sparsity
  [ICLR 2024] Dynamic Sparse Training with Structured Sparsity
  ☆21Updated last year
• ksachdeva / tiny-imagenet-tfds
  tiny-imagenet dataset downloader & reader using tensorflow_datasets (tfds) api
  ☆20Updated 6 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆382Updated last year
• omihub777 / MLP-Mixer-CIFAR
  PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…
  ☆36Updated 4 years ago
• omihub777 / ViT-CIFAR
  PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…
  ☆201Updated last year
• marcellodebernardi / loss-landscapes
  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
  ☆348Updated last year
• verbiiyo / rigl-torch
  Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.
  ☆60Updated 4 years ago
• MinghuiChen43 / awesome-deep-phenomena
  A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
  ☆378Updated last week
• rahulvigneswaran / Lottery-Ticket-Hypothesis-in-Pytorch
  This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…
  ☆337Updated 2 years ago
• hoonyyhoon / Synflow_SNIP_GraSP
  Comparison of method "Pruning at initialization prior to training" (Synflow/SNIP/GraSP) in PyTorch
  ☆17Updated last year
• allenai / hidden-networks
  ☆195Updated 4 years ago
• nsfzyzz / Generalization_metrics_for_NLP
  [KDD 2023] code for "Test accuracy vs. generalization gap: model selection in NLP without accessing training or testing data" https://arx…
  ☆12Updated 3 years ago
• chenyaofo / pytorch-cifar-models
  Pretrained models on CIFAR10/100 in PyTorch
  ☆374Updated 6 months ago
• nsfzyzz / loss_landscape_taxonomy
  [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
  ☆19Updated 3 years ago
• locuslab / edge-of-stability
  ☆72Updated 11 months ago
• mil-ad / snip
  Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.
  ☆111Updated 6 years ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆107Updated 2 years ago
• AngusDujw / SAF
  ☆35Updated 2 years ago
• ganguli-lab / Synaptic-Flow
  ☆227Updated last year
• 99991 / cifar10-fast-simple
  Train CIFAR10 to 94% accuracy in a few minutes/seconds. Based on https://github.com/davidcpage/cifar10-fast
  ☆22Updated 2 years ago
• Laborieux-Axel / Equilibrium-Propagation
  EP
  ☆18Updated 4 years ago
• MarlonBecker / MSAM
  ☆20Updated last year
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆119Updated 10 months ago