Alternatives and similar repositories for EE359-Multi-Graph-Matching

Users that are interested in EE359-Multi-Graph-Matching are comparing it to the libraries listed below

• zkysfls / 20fall-
  ☆101Updated 5 years ago
• Better-Call-Octagon / 22-fall-gre-ddl
  ☆26Updated 3 years ago
• Trinkle23897 / online-application-course-upload
  ☆35Updated 5 years ago
• violet-zct / group-conditional-DRO
  Group-conditional DRO to alleviate spurious correlations
  ☆15Updated 4 years ago
• Newbeeer / V-information
  Code for the ICLR 2020 Paper, "A Theory of Usable Information under Computational Constraints"
  ☆26Updated 5 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.
  ☆42Updated 3 years ago
• chenweize1998 / Android-News-App
  Homework for JAVA course
  ☆9Updated 5 years ago
• ybjiaang / ACTIR
  Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"
  ☆16Updated 3 years ago
• kashif / ICLR2022-OpenReviewData
  Crawl & visualize ICLR papers and reviews.
  ☆107Updated 3 years ago
• MadryLab / BREEDS-Benchmarks
  ☆55Updated 4 years ago
• ec6dde01667145e58de60f864e05a4 / CausalOptimizationAnon
  ☆65Updated last year
• GhadaSokar / Invariant-Representation-for-Continual-Learning
  Implementation for the paper "Learning Invariant Representation for Continual Learning" in PyTorch.
  ☆12Updated 4 years ago
• Trinkle23897 / CS294-112
  CS 294-112 @ UCB Deep RL
  ☆23Updated 2 years ago
• weigq / iclr2022_stats
  ☆46Updated 2 years ago
• varunnair18 / FISH
  Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
  ☆59Updated 3 years ago
• ryokamoi / pytorch_influence_functions
  This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence…
  ☆16Updated 5 years ago
• yichousun / Winter2021_CS249_GNN
  ☆54Updated 2 years ago
• shizhediao / Black-Box-Prompt-Learning
  Source code for the TMLR paper "Black-Box Prompt Learning for Pre-trained Language Models"
  ☆56Updated last year
• kohpangwei / group-influence-release
  ☆50Updated 2 years ago
• fmu2 / gradfeat20
  Gradients as Features for Deep Representation Learning
  ☆43Updated 5 years ago
• code-terminator / invariant_rationalization
  Tensorflow implementation of Invariant Rationalization
  ☆49Updated 2 years ago
• mgong2 / DA_Infer
  Domain Adaptation as a Problem of Inference on Graphical Models
  ☆29Updated 4 years ago
• AI-secure / InfoBERT
  [ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Y…
  ☆85Updated last year
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆48Updated last year
• princeton-nlp / LM-Kernel-FT
  A Kernel-Based View of Language Model Fine-Tuning https://arxiv.org/abs/2210.05643
  ☆78Updated last year
• tding1 / Neural-Collapse
  [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features
  ☆58Updated 3 years ago
• pluskid / structural-regularity
  ☆22Updated 2 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆13Updated 3 years ago
• RobertCsordas / modules
  The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We…
  ☆46Updated last year
• LZhengisme / self-infilling
  [ICML 2024] Self-Infilling Code Generation
  ☆18Updated last year