DeMoriarty / fast_pytorch_kmeans
This is a pytorch implementation of k-means clustering algorithm
☆309Updated 2 months ago
Alternatives and similar repositories for fast_pytorch_kmeans
Users that are interested in fast_pytorch_kmeans are comparing it to the libraries listed below
Sorting:
- kmeans using PyTorch☆514Updated 2 years ago
- Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda☆223Updated last year
- Implementation of Linformer for Pytorch☆286Updated last year
- Tiny PyTorch library for maintaining a moving average of a collection of parameters.☆428Updated 7 months ago
- PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.☆65Updated 2 years ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆442Updated 2 years ago
- An implementation of local windowed attention for language modeling☆449Updated 4 months ago
- Transformer based on a variant of attention that is linear complexity in respect to sequence length☆766Updated last year
- An implementation of 1D, 2D, and 3D positional encoding in Pytorch and TensorFlow☆584Updated 6 months ago
- A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model☆582Updated 5 months ago
- PyTorch implementation of the InfoNCE loss for self-supervised learning.☆549Updated last year
- Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…☆115Updated 2 years ago
- ☆164Updated 2 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆262Updated 3 years ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information☆330Updated last year
- PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results☆204Updated last year
- ☆129Updated last year
- Pytorch implementation for t-SNE with cuda to accelerate☆334Updated 2 years ago
- Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch☆673Updated 5 months ago
- Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)☆198Updated 2 years ago
- Differentiable Top-k Classification Learning☆81Updated 2 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆225Updated 3 years ago
- ICLR 2021, Contrastive Learning with Hard Negative Samples☆267Updated 3 years ago
- Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms☆260Updated 3 years ago
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆341Updated 3 years ago
- Implementation of ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks, ICML 2021.☆143Updated 3 years ago
- Implementation of Slot Attention from GoogleAI☆427Updated 8 months ago
- ☆459Updated 2 years ago
- A LARS implementation in PyTorch☆345Updated 5 years ago