Alternatives and similar repositories for nondeep

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

• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆54Updated 6 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 5 years ago
• ColinQiyangLi / LConvNet
  Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)
  ☆35Updated 5 years ago
• minyoungg / overparam
  ☆41Updated 2 years ago
• ermongroup / f-wgan
  Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
  ☆14Updated 5 years ago
• briancheung / superposition
  ☆45Updated 5 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• ucla-vision / information-dropout
  Implementation of Information Dropout
  ☆39Updated 8 years ago
• g-benton / hessian-eff-dim
  Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited
  ☆37Updated 2 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆29Updated 5 years ago
• revbucket / geometric-certificates
  Geometric Certifications of Neural Nets
  ☆42Updated 2 years ago
• sajadn / Exemplar-VAE
  Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation
  ☆69Updated 4 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• haoliuhl / hybrid-discriminative-generative
  Hybrid Discriminative-Generative Training via Contrastive Learning
  ☆75Updated 2 years ago
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆72Updated 7 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• modestyachts / neural_kernels_code
  ☆36Updated 4 years ago
• lilianweng / generalization-experiment
  TBA
  ☆76Updated 6 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆50Updated 6 years ago
• pietz / simclr
  Unofficial PyTorch implementation of SimCLR by Chen et al.
  ☆17Updated 5 years ago
• JiJingYu / delta_orthogonal_init_pytorch
  Delta Orthogonal Initialization for PyTorch
  ☆18Updated 7 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆53Updated 5 years ago
• hongyanz / TRADES-smoothing
  [JMLR] TRADES + random smoothing for certifiable robustness
  ☆14Updated 5 years ago
• chingyaoc / estimating-generalization
  ICML 2020, Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
  ☆23Updated 5 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 5 years ago
• preetum / cifar5m
  CIFAR-5m dataset
  ☆39Updated 4 years ago
• Healbadbad / curveball-pytorch
  An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch
  ☆21Updated 7 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆30Updated 5 years ago