Alternatives and similar repositories for AtSNE:

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

• stanis-morozov / unq
  Supplementary Code for Unsupervised Neural Quantization for Compressed-Domain Similarity Search
  ☆36Updated 5 years ago
• yhenon / pyrcc
  Python implementation of Robust Continuous Clustering
  ☆105Updated 5 years ago
• huangleiBuaa / OthogonalWN
  This project is the Torch implementation of our accepted AAAI 2018 paper : orthogonal weight normalization method for solving orthogonali…
  ☆57Updated 5 years ago
• noahgolmant / pytorch-lars
  "Layer-wise Adaptive Rate Scaling" in PyTorch
  ☆86Updated 4 years ago
• Cyanogenoid / perm-optim
  [ICLR 2019] Learning Representations of Sets through Optimized Permutations
  ☆36Updated 5 years ago
• srebuffi / lsd-clusters
  ☆46Updated 2 years ago
• jeanfeydy / global-divergences
  MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.
  ☆55Updated 6 years ago
• overshiki / kmeans_pytorch
  pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
  ☆93Updated 6 years ago
• BorealisAI / bre-gan
  Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …
  ☆20Updated 6 years ago
• rythei / PyTorchOT
  implements optimal transport algorithms in pytorch
  ☆96Updated 2 years ago
• twistedcubic / learn-to-hash
  Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.
  ☆73Updated 4 years ago
• xukai92 / darksight
  Interpreting Deep Classifier by Visual Distillation of Dark Knowledge
  ☆35Updated 4 years ago
• snap-stanford / crust
  [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels
  ☆33Updated 3 years ago
• Westlake-AI / Markov-Lipschitz-Deep-Learning
  ☆44Updated 4 years ago
• kunhe / FastAP-metric-learning
  Code for CVPR 2019 paper "Deep Metric Learning to Rank"
  ☆96Updated 3 years ago
• Raymond-sci / PICA
  Official Pytorch Implementation for CVPR'20 paper: Deep Semantic Clustering by Partition Confidence Maximisation
  ☆58Updated 4 years ago
• Cyanogenoid / fspool
  [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling
  ☆42Updated last year
• jlsuarezdiaz / pyDML
  Distance Metric Learning Algorithms for Python
  ☆173Updated 4 years ago
• snap-stanford / bc-emb
  ☆32Updated 2 years ago
• imd-iclr / imd
  The Shape of Data: Intrinsic Distance for Comparing Data Distributions
  ☆12Updated 5 years ago
• google / gumbel_sinkhorn
  ☆75Updated 7 years ago
• e- / PANENE
  PANENE: Progressive Approximate NEarest NEighbors
  ☆19Updated 2 months ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• dbaranchuk / learning-to-route
  Code for ICML2019 paper: Learning to Route in Similarity Graphs
  ☆58Updated 9 months ago
• KangchengHou / gntk
  Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
  ☆104Updated 5 years ago
• vadimkantorov / metriclearningbench
  Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products
  ☆65Updated 3 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆74Updated 7 years ago
• ColumbiaDVMM / Heated_Up_Softmax_Embedding
  Project page for Heated-up Softmax Embedding
  ☆43Updated 6 years ago
• wy1iu / NSL
  Implementation for <Neural Similarity Learning> in NeurIPS'19.
  ☆33Updated 4 years ago
• eelenberg / streak
  Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)
  ☆23Updated 7 years ago