hendrydong / NTK-and-MF-examples

Related projects ⓘ

Alternatives and complementary repositories for NTK-and-MF-examples

• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆62Updated 2 years ago
• yilundu / ebm_compositionality
  [NeurIPS'20] Code for the Paper Compositional Visual Generation and Inference with Energy Based Models
  ☆43Updated last year
• cunningham-lab / igr
  ☆31Updated 4 years ago
• hichamjanati / debiased-ot-barycenters
  ☆23Updated 3 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆51Updated 4 years ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 2 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆22Updated 11 months ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 5 years ago
• JunLi-Galios / Optimization-on-Stiefel-Manifold-via-Cayley-Transform
  Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform
  ☆36Updated 5 years ago
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆53Updated 2 years ago
• fKunstner / noise-sgd-adam-sign
  ☆15Updated last year
• JonasGeiping / fullbatchtraining
  Training vision models with full-batch gradient descent and regularization
  ☆38Updated last year
• avirmaux / lipEstimation
  ☆57Updated last year
• locuslab / edge-of-stability
  ☆59Updated 3 years ago
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆18Updated 3 years ago
• zbh2047 / L_inf-dist-net
  [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
  ☆41Updated 2 years ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆26Updated 3 years ago
• thuwzy / ZhuSuan-PyTorch
  An Elegant Library for Bayesian Deep Learning in PyTorch
  ☆22Updated last year
• minyoungg / overparam
  ☆40Updated last year
• ruiqigao / recovery_likelihood
  ☆49Updated 3 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆34Updated 3 years ago
• pnnl / torchntk
  ☆25Updated last year
• bpucla / latent-space-EBM-prior
  ☆33Updated 4 years ago
• facebookresearch / w2ot
  Euclidean Wasserstein-2 optimal transportation
  ☆44Updated last year
• GiulsLu / Sinkhorn-Barycenters
  Sinkhorn Barycenters via Frank-Wolfe algorithm
  ☆24Updated 4 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆97Updated 4 years ago
• rahimentezari / PermutationInvariance
  ☆23Updated 2 years ago
• pluskid / structural-regularity
  ☆21Updated last year
• rajatvd / NTK
  Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK
  ☆166Updated 5 years ago