Alternatives and similar repositories for kmeans_pytorch:

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

• VITA-Group / Deep-K-Means-pytorch
  [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
  ☆152Updated 3 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated last year
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• VITA-Group / Orthogonality-in-CNNs
  [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
  ☆128Updated 3 years ago
• jlezama / OrthogonalLowrankEmbedding
  ☆65Updated 6 years ago
• egg-west / AdamW-pytorch
  Implementation and experiments for AdamW on Pytorch
  ☆93Updated 5 years ago
• microsoft / snca.pytorch
  Improving Generalization via Scalable Neighborhood Component Analysis
  ☆137Updated last year
• google-research / s4l
  Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning
  ☆95Updated 5 years ago
• hehaodele / ProbGAN
  [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
  ☆32Updated 5 years ago
• kfzyqin / Research-Softmax-with-Mutual-Information
  Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".
  ☆101Updated 5 years ago
• noahgolmant / pytorch-lars
  "Layer-wise Adaptive Rate Scaling" in PyTorch
  ☆86Updated 4 years ago
• microsoft / metric-transfer.pytorch
  Deep Metric Transfer for Label Propagation with Limited Annotated Data
  ☆49Updated last year
• hysts / pytorch_shake_shake
  A PyTorch implementation of shake-shake
  ☆111Updated 4 years ago
• google-research / remixmatch
  ☆130Updated 2 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• maple-research-lab / EnAET
  EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning
  ☆81Updated last year
• peisuke / MomentumContrast.pytorch
  Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning
  ☆120Updated 8 months ago
• taoyang1122 / GradAug
  [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks
  ☆93Updated 4 years ago
• gstrezoski / TaskRouting
  (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…
  ☆64Updated 5 years ago
• richardkxu / distributed-pytorch
  Distributed, mixed-precision training with PyTorch
  ☆89Updated 4 years ago
• lucidrains / hamburger-pytorch
  Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"
  ☆98Updated 4 years ago
• owruby / shake-shake_pytorch
  PyTorch implementation of shake-shake regularization
  ☆48Updated 4 years ago
• benathi / fastswa-semi-sup
  Improving Consistency-Based Semi-Supervised Learning with Weight Averaging
  ☆186Updated 6 years ago
• yukimasano / linear-probes
  Evaluating AlexNet features at various depths
  ☆39Updated 4 years ago
• mdiephuis / SimCLR
  Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"
  ☆81Updated 11 months ago
• yulu0724 / EmbeddingDistillation
  Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)
  ☆76Updated 5 years ago
• jotaf98 / easy-receptive-fields-pytorch
  Minimal API for receptive field calculation in PyTorch
  ☆67Updated 2 years ago
• tbung / pytorch-revnet
  Implementation of the reversible residual network in pytorch
  ☆104Updated 3 years ago
• galatolofederico / pytorch-balanced-batch
  A pytorch dataset sampler for always sampling balanced batches.
  ☆113Updated 4 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆91Updated 4 years ago