Alternatives and similar repositories for loss_landscape:

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

• pilancilab / Riemannian_Preconditioned_LoRA
  source code for paper "Riemannian Preconditioned LoRA for Fine-Tuning Foundation Models"
  ☆21Updated 7 months ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆53Updated last year
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆27Updated 2 months ago
• calgaryml / condensed-sparsity
  [ICLR 2024] Dynamic Sparse Training with Structured Sparsity
  ☆17Updated 9 months ago
• furiosa-ai / ssm-peft
  ☆13Updated 2 months ago
• yolky / RFAD
  Code for the paper "Efficient Dataset Distillation using Random Feature Approximation"
  ☆37Updated last year
• poloclub / robust-principles
  Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
  ☆21Updated last year
• YiteWang / NTK-SAP
  [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics
  ☆18Updated last year
• nick11roberts / XD
  ☆11Updated 2 years ago
• monk1337 / Awesome-Robust-Machine-Learning
  A curated list of Robust Machine Learning papers/articles and recent advancements.
  ☆29Updated 2 years ago
• TNAS-DCS / TNAS-DCS
  ☆12Updated 2 years ago
• activatedgeek / tight-pac-bayes
  Code for PAC-Bayes Compression Bounds So Tight That They Can Explain Generalization, NeurIPS 2022
  ☆15Updated 2 years ago
• grigorisg9gr / regularized_polynomials
  Official Implementation of the CVPR'23 paper 'Regularization of polynomial networks for image recognition'.
  ☆9Updated last year
• smonsays / contrastive-meta-learning
  Code accompanying the paper "A contrastive rule for meta-learning"
  ☆11Updated 2 months ago
• EkdeepSLubana / MMC
  Codebase for Mechanistic Mode Connectivity
  ☆13Updated last year
• rahimentezari / PermutationInvariance
  ☆23Updated 2 years ago
• mariuslindegaard / Intermediate_Neural_Collapse
  (ICML 2023) Feature learning in deep classifiers through Intermediate Neural Collapse: Accompanying code
  ☆13Updated last year
• uclaml / PDE
  Official repo of Progressive Data Expansion: data, code and evaluation
  ☆27Updated last year
• tml-epfl / why-weight-decay
  Why Do We Need Weight Decay in Modern Deep Learning? [NeurIPS 2024]
  ☆58Updated 3 months ago
• ablghtianyi / ICL_Modular_Arithmetic
  ☆16Updated 2 months ago
• facebookresearch / ModelRatatouille
  Recycling diverse models
  ☆44Updated 2 years ago
• singlasahil14 / SOC
  Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
  ☆18Updated 2 years ago
• KellerJordan / REPAIR
  Code release for REPAIR: REnormalizing Permuted Activations for Interpolation Repair
  ☆46Updated 11 months ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆76Updated 5 months ago
• Sanaelotfi / Bayesian_model_comparison
  Supporing code for the paper "Bayesian Model Selection, the Marginal Likelihood, and Generalization".
  ☆35Updated 2 years ago
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• meghdadk / SCRUB
  ☆43Updated 5 months ago
• mkhodak / relax
  ☆14Updated 2 years ago
• epfml / optML-pku
  summer school materials
  ☆44Updated last year