Alternatives and similar repositories for tsne-cuda

Users that are interested in tsne-cuda are comparing it to the libraries listed below

• pavlin-policar / openTSNE
  Extensible, parallel implementations of t-SNE
  ☆1,543Updated last month
• DmitryUlyanov / Multicore-TSNE
  Parallel t-SNE implementation with Python and Torch wrappers.
  ☆1,908Updated last year
• gpleiss / temperature_scaling
  A simple way to calibrate your neural network.
  ☆1,153Updated 3 years ago
• tomgoldstein / loss-landscape
  Code for visualizing the loss landscape of neural nets
  ☆3,028Updated 3 years ago
• facebookresearch / deepcluster
  Deep Clustering for Unsupervised Learning of Visual Features
  ☆1,720Updated 3 years ago
• google-research / disentanglement_lib
  disentanglement_lib is an open-source library for research on learning disentangled representations.
  ☆1,403Updated 4 years ago
• Lightning-Universe / lightning-bolts
  Toolbox of models, callbacks, and datasets for AI/ML researchers.
  ☆1,730Updated last week
• facebookresearch / swav
  PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
  ☆2,047Updated 2 years ago
• facebookresearch / higher
  higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…
  ☆1,622Updated 3 years ago
• waleedka / hiddenlayer
  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
  ☆1,838Updated last year
• lucidrains / byol-pytorch
  Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
  ☆1,832Updated 11 months ago
• szagoruyko / pytorchviz
  A small package to create visualizations of PyTorch execution graphs
  ☆3,394Updated 6 months ago
• facebookresearch / vissl
  VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
  ☆3,284Updated last year
• pytorch / tnt
  A lightweight library for PyTorch training tools and utilities
  ☆1,700Updated this week
• HobbitLong / PyContrast
  PyTorch implementation of Contrastive Learning methods
  ☆1,986Updated last year
• HobbitLong / CMC
  [arXiv 2019] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
  ☆1,324Updated 4 years ago
• ufoym / imbalanced-dataset-sampler
  A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
  ☆2,307Updated last week
• google-research / mixmatch
  ☆1,141Updated 2 years ago
• pytorch / captum
  Model interpretability and understanding for PyTorch
  ☆5,307Updated last week
• google-research / simclr
  SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
  ☆4,314Updated 2 years ago
• nitrain / nitrain
  Train AI models efficiently on medical images using any framework
  ☆1,871Updated last year
• jettify / pytorch-optimizer
  torch-optimizer -- collection of optimizers for Pytorch
  ☆3,124Updated last year
• google / uncertainty-baselines
  High-quality implementations of standard and SOTA methods on a variety of tasks.
  ☆1,517Updated last month
• facebookresearch / barlowtwins
  PyTorch implementation of Barlow Twins.
  ☆985Updated 3 years ago
• KevinMusgrave / pytorch-metric-learning
  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
  ☆6,180Updated 2 months ago
• Stonesjtu / pytorch_memlab
  Profiling and inspecting memory in pytorch
  ☆1,061Updated 11 months ago
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆817Updated last month
• google-research / big_transfer
  Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
  ☆1,526Updated 11 months ago
• rbgirshick / yacs
  YACS -- Yet Another Configuration System
  ☆1,315Updated 3 years ago
• rdevon / DIM
  Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
  ☆807Updated 6 years ago