Alternatives and similar repositories for screenkhorn

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

• xieyujia / IPOT
  Implementation of Inexact Proximal point method for Optimal Transport
  ☆48Updated 3 years ago
• M-Elfeki / GDPP
  Generator loss to reduce mode-collapse and to improve the generated samples quality.
  ☆34Updated 5 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆15Updated 4 years ago
• minicheshire / InResNet
  Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749
  ☆26Updated 4 years ago
• inspire-group / robustness-via-transport
  ☆12Updated 5 years ago
• CogComp / TAWT
  Weighted Training for Cross-Task Learning
  ☆15Updated 2 years ago
• Newbeeer / orthogonal_classifier
  Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"
  ☆35Updated last year
• bpucla / latent-space-EBM-prior
  ☆36Updated 4 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago
• abietti / kernel_reg
  Pytorch implementation of regularization methods for deep networks obtained via kernel methods.
  ☆22Updated 5 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆28Updated 5 years ago
• anonymous003784 / Multi-View-Information-Bottleneck
  ☆10Updated 5 years ago
• szkocot / Adapting-Auxiliary-Losses-Using-Gradient-Similarity
  Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article
  ☆32Updated 6 years ago
• VITA-Group / L2O-Minimax
  [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…
  ☆15Updated 3 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆43Updated 2 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• JasonAltschuler / OptimalTransportNIPS17
  Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…
  ☆31Updated 7 years ago
• Landmine598 / OT-DA
  ☆14Updated 4 years ago
• VITA-Group / Lifelong-Learning-LTH
  [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…
  ☆25Updated 3 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• ZichenMiao / L3Net
  ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters
  ☆15Updated 4 years ago
• AI-secure / multi-task-learning
  Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…
  ☆68Updated 3 years ago
• chingyaoc / kV-Margin
  NeurIPS 2021, Code for Measuring Generalization with Optimal Transport
  ☆28Updated 3 years ago
• victorchen96 / Draw-Paper-Plot-Using-Seaborn
  some examples for drawing illustration plots for paper using seaborn package
  ☆15Updated 5 years ago
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 3 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 4 years ago
• LARS-research / S2E
  Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020
  ☆22Updated 4 years ago
• chenpf1025 / SLN
  ICLR 2021: Noise against noise: stochastic label noise helps combat inherent label noise
  ☆14Updated 4 years ago
• jovitalukasik / vs_gae
  ☆10Updated 9 months ago
• zju-vipa / TransferbilityFromAttributionMaps
  (NeurIPS 2019) Deep Model Transferbility from Attribution Maps
  ☆20Updated 5 years ago