jvdd / pqknnLinks
Product Quantization k-Nearest Neighbors
☆20Updated 4 years ago
Alternatives and similar repositories for pqknn
Users that are interested in pqknn are comparing it to the libraries listed below
Sorting:
- Official code for "Binary embedding based retrieval at Tencent"☆43Updated last year
- PyTorch, PyTorch Lightning framework for trying knowledge distillation in image classification problems☆32Updated last year
- TLDR is an unsupervised dimensionality reduction method that combines neighborhood embedding learning with the simplicity and effectivene…☆125Updated 3 years ago
- Fast Image Retrieval (FIRe) is an open source project to promote image retrieval research. It implements most of the major binary hashing…☆72Updated last year
- hnsw implemented by python☆69Updated 6 years ago
- Udacity CS344 Introduction to Parallell Programming (https://classroom.udacity.com/courses/cs344), with assignments/materials updated to …☆46Updated 3 years ago
- Dynamic Neural Architecture Search Toolkit☆30Updated 8 months ago
- PyTorch Pruning Example☆50Updated 2 years ago
- CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission☆66Updated 4 years ago
- Context Manager to profile the forward and backward times of PyTorch's nn.Module☆83Updated last year
- A benchmark of data-centric tasks from across the machine learning lifecycle.☆72Updated 3 years ago
- GGNN: State of the Art Graph-based GPU Nearest Neighbor Search☆163Updated 6 months ago
- Differentiable Top-k Classification Learning☆83Updated 2 years ago
- ☆13Updated 3 years ago
- The accompanying code for "Memory-efficient Transformers via Top-k Attention" (Ankit Gupta, Guy Dar, Shaya Goodman, David Ciprut, Jonatha…☆69Updated 3 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆62Updated 3 years ago
- A PyTorch Dataset that caches samples in shared memory, accessible globally to all processes☆20Updated 3 years ago
- DAM Data Acquisition for ML Benchmark, as part of the DataPerf benchmark suite, https://dataperf.org/☆24Updated 2 years ago
- Code for the paper "BERT Loses Patience: Fast and Robust Inference with Early Exit".☆65Updated 4 years ago
- [NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Object…☆95Updated last year
- Supplementary Code for Unsupervised Neural Quantization for Compressed-Domain Similarity Search☆36Updated 5 years ago
- Implementation of TableFormer, Robust Transformer Modeling for Table-Text Encoding, in Pytorch☆39Updated 3 years ago
- ☆95Updated 2 years ago
- Block Sparse movement pruning☆81Updated 4 years ago
- Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.☆73Updated 4 years ago
- This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron …☆33Updated 2 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Updated 5 years ago
- Implementation of Online Label Smoothing in PyTorch☆95Updated 2 years ago
- PRIME: A Few Primitives Can Boost Robustness to Common Corruptions☆42Updated 2 years ago
- Transformers w/o Attention, based fully on MLPs☆94Updated last year