TimRoith / CLIP

Related projects ⓘ

Alternatives and complementary repositories for CLIP

• mueller-mp / SAM-ON
  ☆33Updated 9 months ago
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆18Updated 3 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• blaisedelattre / lip4conv
  Code for Spectral Norm of Convolutional Layers with Circular and Zero Paddings and Efficient Bound of Lipschitz Constant for Convolutiona…
  ☆13Updated 9 months ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆94Updated 8 months ago
• hukkai / liresnet
  [NeurIPS 2023] and [ICLR 2024] for robustness certification.
  ☆9Updated 10 months ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• avirmaux / lipEstimation
  ☆57Updated last year
• 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
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• AngusDujw / SAF
  ☆32Updated last year
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆42Updated 3 years ago
• litian96 / TERM
  Tilted Empirical Risk Minimization (ICLR '21)
  ☆59Updated last year
• locuslab / edge-of-stability
  ☆59Updated 3 years ago
• google-research / OOD-failures
  ☆24Updated 3 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆65Updated 4 years ago
• AKuzina / defend_vae_mcmc
  Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://a…
  ☆10Updated last year
• edadaltocg / detectors
  Python package to accelerate research on generalized out-of-distribution (OOD) detection.
  ☆11Updated 5 months ago
• JeanKaddour / WASAM
  Weight-Averaged Sharpness-Aware Minimization (NeurIPS 2022)
  ☆27Updated last year
• yjhuangcd / local-lipschitz
  Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).
  ☆22Updated 2 years ago
• igeood / Igeood
  Anonymized code for Igeood: An Information Geometry Approach to Out-of-Distribution Detection
  ☆12Updated 2 years ago
• pnnl / torchntk
  ☆25Updated last year
• x-zho14 / ProbMask-official
  Implementation of Effective Sparsification of Neural Networks with Global Sparsity Constraint
  ☆28Updated 2 years ago
• okn-yu / Visualizing-the-Loss-Landscape-of-Neural-Nets
  ☆16Updated 4 years ago
• deep-lab / DeepnetHessian
  Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)
  ☆17Updated 5 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆52Updated last year
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆50Updated last year
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 3 years ago
• harshays / simplicitybiaspitfalls
  The Pitfalls of Simplicity Bias in Neural Networks [NeurIPS 2020] (http://arxiv.org/abs/2006.07710v2)
  ☆39Updated 10 months ago
• somepago / dbViz
  The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…
  ☆76Updated 2 years ago