jvdd / pqknn
Product Quantization k-Nearest Neighbors
☆19Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for pqknn
- ☆12Updated 5 years ago
- TSDG: An efficient index graph for graph-based nearest neighbor search☆9Updated 2 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆21Updated 4 years ago
- Official code repository for the WACV 2022 paper "Visualizing Paired Image Similarity in Transformer Networks"☆20Updated 2 years ago
- Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner P…☆55Updated 3 years ago
- Official code for "Binary embedding based retrieval at Tencent"☆42Updated 8 months ago
- Locality sensitive hash functions for Tensorflow 2.0.☆13Updated 2 years ago
- Large dataset storage format for Pytorch☆45Updated 3 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago
- hnsw implemented by python☆62Updated 5 years ago
- Supplementary Code for Unsupervised Neural Quantization for Compressed-Domain Similarity Search☆35Updated 5 years ago
- Fast C++ implementation of https://github.com/yahoo/lopq: Locally Optimized Product Quantization (LOPQ) model and searcher for approximat…☆34Updated 4 years ago
- PyTorch, PyTorch Lightning framework for trying knowledge distillation in image classification problems☆32Updated 3 months ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆14Updated 3 years ago
- A fast high dimensional near neighbor search algorithm based on group testing and locality sensitive hashing☆19Updated 11 months ago
- Implementation of some fundamental Machine Learning algorithms completely written in Pytorch☆9Updated 5 years ago
- ☆51Updated 3 years ago
- Differentiable Product Quantization for End-to-End Embedding Compression.☆58Updated last year
- All the code for a series of Medium articles on Approximate Nearest Neighbors☆45Updated 2 years ago
- Comparing four automatic image augmentation techniques in PyTorch: AutoAugment, RandAugment, AugMix, and TrivialAugment☆27Updated last year
- [NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Object…☆94Updated 6 months ago
- Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing…☆66Updated last year
- Implementation of a Transformer using ReLA (Rectified Linear Attention) from https://arxiv.org/abs/2104.07012☆49Updated 2 years ago
- Official codebase for NeurIPS 2022 paper End-to-end Learning to Index and Search in Large Output Spaces☆12Updated last year
- Input Similarity from the Neural Network Perspective☆25Updated 4 years ago
- TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectivene…☆125Updated 2 years ago
- A package for fine tuning of pretrained NLP transformers using Semi Supervised Learning☆15Updated 3 years ago
- ☆31Updated 3 years ago