DeMoriarty / TorchPQLinks
Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda
☆225Updated last year
Alternatives and similar repositories for TorchPQ
Users that are interested in TorchPQ are comparing it to the libraries listed below
Sorting:
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆264Updated 3 years ago
- A LARS implementation in PyTorch☆346Updated 5 years ago
- ☆376Updated last year
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆225Updated 3 years ago
- Fast Block Sparse Matrices for Pytorch☆547Updated 4 years ago
- [Prototype] Tools for the concurrent manipulation of variably sized Tensors.☆251Updated 2 years ago
- Slicing a PyTorch Tensor Into Parallel Shards☆299Updated 2 weeks ago
- Sequence modeling with Mega.☆296Updated 2 years ago
- Named tensors with first-class dimensions for PyTorch☆331Updated 2 years ago
- Fully featured implementation of Routing Transformer☆295Updated 3 years ago
- Configuration classes enabling type-safe PyTorch configuration for Hydra apps☆217Updated 2 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆376Updated 4 years ago
- Demystify RAM Usage in Multi-Process Data Loaders☆194Updated 2 years ago
- Block-sparse primitives for PyTorch☆156Updated 4 years ago
- This is a pytorch implementation of k-means clustering algorithm☆311Updated 3 months ago
- Experimental ground for optimizing memory of pytorch models☆366Updated 7 years ago
- A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training☆477Updated last year
- Implementation of Linformer for Pytorch☆288Updated last year
- Implementation of fused cosine similarity attention in the same style as Flash Attention☆214Updated 2 years ago
- A general and accurate MACs / FLOPs profiler for PyTorch models☆617Updated last year
- kmeans using PyTorch☆515Updated 2 years ago
- Is the attention layer even necessary? (https://arxiv.org/abs/2105.02723)☆486Updated 4 years ago
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆165Updated 4 years ago
- Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload☆127Updated 2 years ago
- ☆163Updated 2 years ago
- Seamless analysis of your PyTorch models (RAM usage, FLOPs, MACs, receptive field, etc.)☆218Updated 3 months ago
- TF/Keras code for DiffStride, a pooling layer with learnable strides.☆124Updated 3 years ago
- Pytorch Custom CUDA kernel for searchsorted☆137Updated last year
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆438Updated 9 months ago
- A better PyTorch implementation of image local attention which reduces the GPU memory by an order of magnitude.☆141Updated 3 years ago