jokofa / torch_kmeansLinks
PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.
☆68Updated 2 years ago
Alternatives and similar repositories for torch_kmeans
Users that are interested in torch_kmeans are comparing it to the libraries listed below
Sorting:
- This is a pytorch implementation of k-means clustering algorithm☆315Updated 4 months ago
- [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wen…☆80Updated last year
- The code of "Improving Deep Regression with Ordinal Entropy" in ICLR 2023☆51Updated last year
- A simple cross attention that updates both the source and target in one step☆172Updated this week
- The official github repo for "Test-Time Training with Masked Autoencoders"☆87Updated last year
- Official Code for ICLR 2024 Paper: Non-negative Contrastive Learning☆45Updated last year
- Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"☆229Updated 2 years ago
- Visualizing representations with diffusion based conditional generative model.☆95Updated 2 years ago
- The official repo for CVPR2023 highlight paper "Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization".☆85Updated 2 years ago
- Official implementation of "A simple, efficient and scalable contrastive masked autoencoder for learning visual representations".☆34Updated 2 years ago
- Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders☆67Updated last year
- A pure PyTorch implementation of kmeans and GMM with distributed clustering.☆48Updated 2 years ago
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆175Updated 2 years ago
- [NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions☆61Updated last year
- Official implementation for Equivariant Architectures for Learning in Deep Weight Spaces [ICML 2023]☆89Updated last year
- Denoising Masked Autoencoders Help Robust Classification.☆66Updated 2 years ago
- PyTorch reimplementation of FlexiViT: One Model for All Patch Sizes☆61Updated last year
- This is the official implementation for Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models.☆28Updated 2 years ago
- An official codebase of paper "Revisiting Sparse Convolutional Model for Visual Recognition"☆124Updated 2 years ago
- A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance P…☆78Updated last year
- Transformers w/o Attention, based fully on MLPs☆94Updated last year
- Mutual Information in Pytorch☆112Updated last year
- Masked Autoencoder meets GANs☆27Updated last year
- ☆65Updated 3 years ago
- kmeans using PyTorch☆516Updated 2 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- ☆49Updated 2 years ago
- Implementation of the Gumbel-Sigmoid distribution in PyTorch.☆20Updated 3 years ago
- [CVPR'23 & TPAMI'25] Hard Patches Mining for Masked Image Modeling☆100Updated 3 months ago
- PyTorch Implementation of "Your ViT is Secretly a Hybrid Discriminative-Generative Diffusion Model"☆49Updated 2 years ago