Alternatives and similar repositories for deepstruct

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

• gortizji / linearized-networks
  Source code of "What can linearized neural networks actually say about generalization?
  ☆20Updated 3 years ago
• MachineLearningBCAM / MRCpy
  A Library for Minimax Risk Classifiers
  ☆31Updated last year
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated 2 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated last year
• tml-epfl / sgd-sparse-features
  SGD with large step sizes learns sparse features [ICML 2023]
  ☆32Updated 2 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated last year
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆105Updated 4 years ago
• runame / laplace-refinement
  Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks
  ☆10Updated 2 years ago
• IlyaTrofimov / RTD
  [ICML 2022] Representation Topology Divergence: A Method for Comparing Neural Network Representations
  ☆22Updated 2 years ago
• uuujf / SGDNoise
  [ICML 2019] The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects
  ☆14Updated 5 years ago
• automl / nes
  Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
  ☆33Updated last year
• aryandeshwal / LADDER
  Python implementation for Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces.
  ☆13Updated 3 years ago
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• noamrazin / gnn_interactions
  Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
  ☆25Updated last year
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 3 years ago
• nick11roberts / XD
  ☆12Updated 3 years ago
• rahimentezari / PermutationInvariance
  ☆23Updated 2 years ago
• timrudner / S-FSVI
  Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'
  ☆24Updated 2 years ago
• samuelstanton / gnosis
  Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.
  ☆33Updated last year
• aryol / inductive-scratchpad
  Implementation for our paper "How Far Can Transformers Reason? The Locality Barrier and Inductive Scratchpad"
  ☆11Updated last year
• liamcli / gaea_release
  Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."
  ☆25Updated 4 years ago
• locuslab / edge-of-stability
  ☆70Updated 7 months ago
• mmderakhshani / KCL
  [ICML 2021] Kernel Continual Learning
  ☆7Updated 3 years ago
• mohith-sakthivel / mine-pytorch
  Implementation of Information Bottleneck with Mutual Information Neural Estimation (MINE)
  ☆20Updated 4 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• gasteigerjo / lcn
  Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …
  ☆19Updated 2 years ago
• pnnl / torchntk
  ☆28Updated 2 years ago
• baharanm / craig
  Data-efficient Training of Machine Learning Models
  ☆63Updated 4 years ago
• rtu715 / NAS-Bench-360
  Introducing diverse tasks for NAS
  ☆50Updated 2 years ago
• SubsetSelection / EquiVSet
  NeurIPS'22 Oral: EquiVSet - Learning Neural Set Functions Under the Optimal Subset Oracle
  ☆20Updated 2 years ago