Alternatives and similar repositories for ConvNorm

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

• tianyizhou / DoCL
  Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)
  ☆19Updated 3 years ago
• szq0214 / CMC_with_Image_Mixture
  pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…
  ☆18Updated 5 years ago
• facebookresearch / augmentation-corruption
  This repository provides code for "On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness".
  ☆45Updated 2 years ago
• anonymous003784 / Multi-View-Information-Bottleneck
  ☆10Updated 5 years ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated last year
• VITA-Group / Once-for-All-Adversarial-Training
  [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…
  ☆44Updated 3 years ago
• Lifelong-ML / LASEM
  Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"
  ☆11Updated 3 years ago
• Jiaolong / ss-da-consistency
  Self-Supervised Domain Adaptation with Consistency Training
  ☆19Updated 4 years ago
• meijieru / fast_advprop
  [ICLR 2022]: Fast AdvProp
  ☆35Updated 3 years ago
• singlasahil14 / SOC
  Code for the ICML 2021 and ICLR 2022 papers: Skew Orthogonal Convolutions, Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100
  ☆18Updated 3 years ago
• huangleiBuaa / IterNorm
  This project is the Torch implementation of our accepted CVPR 2019 paper, Iterative Normalization: Beyond Standardization towards Effic…
  ☆25Updated 4 years ago
• EkdeepSLubana / flowandprune
  Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"
  ☆21Updated 4 years ago
• ashleylqx / AIB
  Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021
  ☆15Updated 4 years ago
• mancinimassimiliano / pytorch_wbn
  PyTorch implementation of Weighted Batch-Normalization layers
  ☆37Updated 4 years ago
• VITA-Group / CV_LTH_Pre-training
  [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…
  ☆69Updated 2 years ago
• jason718 / semi-sup
  Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20
  ☆25Updated 4 years ago
• EPFL-VILAB / XDEnsembles
  Robustness via Cross-Domain Ensembles, ICCV 2021 [Oral]
  ☆39Updated 3 years ago
• yunhuiguo / CVPR-2021-L2ID-Classification-Challenges
  Learning from Limited and Imperfect Data (L2ID): Classification Challenges
  ☆18Updated 4 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆43Updated 2 years ago
• AltschulerWu-Lab / MuLANN
  Code and data of the "Multi-domain adversarial learning" paper, Schoenauer-Sebag et al., accepted at ICLR 2019
  ☆38Updated 4 years ago
• chrysts / generative_preconditioner
  ☆10Updated 4 years ago
• hankook / AugSelf
  ☆45Updated 3 years ago
• ermongroup / NDA
  ☆24Updated 3 years ago
• pedro-morgado / nettailor
  Source code accompanying our CVPR 2019 paper: "NetTailor: Tuning the architecture, not just the weights."
  ☆53Updated 3 years ago
• keivanalizadeh / ButterflyTransform
  ☆41Updated 4 years ago
• srebuffi / lsd-clusters
  ☆46Updated 2 years ago
• BaoWangMath / EnResNet
  ☆19Updated 5 years ago
• VITA-Group / MAD
  [ICLR 2020] Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma, "I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifie…
  ☆20Updated 3 years ago
• youngminPIL / AutoLR
  AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks
  ☆16Updated 4 years ago
• liyunsheng13 / Efficient-Multi-Domain-Network-Learning-by-Covariance-Normalization
  ☆15Updated 3 years ago