Alternatives and similar repositories for awesome-deep-learning-theory

Users that are interested in awesome-deep-learning-theory are comparing it to the libraries listed below

• locuslab / edge-of-stability
  ☆70Updated 7 months ago
• tml-epfl / understanding-sam
  Towards Understanding Sharpness-Aware Minimization [ICML 2022]
  ☆35Updated 3 years ago
• chenwydj / learning-to-learn-by-gradient-descent-by-gradient-descent
  Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"
  ☆67Updated 2 years ago
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆61Updated 2 years ago
• kwignb / NeuralTangentKernel-Papers
  Neural Tangent Kernel Papers
  ☆115Updated 6 months ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆105Updated 4 years ago
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆48Updated last year
• Johswald / awesome-hypernetworks
  ☆65Updated 3 years ago
• swyoon / pytorch-energy-based-model
  Simple illustrative examples for energy-based models in PyTorch
  ☆64Updated 5 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆63Updated 3 years ago
• hendrydong / NTK-and-MF-examples
  Visualization of mean field and neural tangent kernel regime
  ☆20Updated last year
• ICLR / Master-Template
  Template and style files for ICLR
  ☆210Updated last month
• zbh2047 / L_inf-dist-net
  [ICML 2021] This is the official github repo for training L_inf dist nets with high certified accuracy.
  ☆42Updated 3 years ago
• zalanborsos / bilevel_coresets
  Coresets via Bilevel Optimization
  ☆66Updated 4 years ago
• yataobian / awesome-ebm
  Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)
  ☆318Updated 2 weeks ago
• wronnyhuang / gen-viz
  Code for the paper "Understanding Generalization through Visualizations"
  ☆61Updated 4 years ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 3 years ago
• dtsip / in-context-learning
  ☆234Updated last year
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆72Updated last year
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆16Updated 3 years ago
• pnnl / torchntk
  ☆28Updated 2 years ago
• avirmaux / lipEstimation
  ☆59Updated 2 years ago
• kohpangwei / group_DRO
  Distributionally robust neural networks for group shifts
  ☆271Updated 2 years ago
• damaru2 / ntk
  NTK reading group
  ☆87Updated 5 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆111Updated 5 years ago
• naotoo1 / Beyond-Neural-Scaling
  Implementation of Beyond Neural Scaling beating power laws for deep models and prototype-based models
  ☆34Updated 2 months ago
• ssagawa / overparam_spur_corr
  An Investigation of Why Overparameterization Exacerbates Spurious Correlations
  ☆31Updated 5 years ago
• fedebotu / ICLR2022-OpenReviewData
  Crawl & visualize ICLR papers and reviews
  ☆110Updated 2 years ago
• chrhenning / hypercl
  Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…
  ☆164Updated 3 years ago