xinyandai / product-quantization
Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner Product Search.
☆59Updated 4 years ago
Alternatives and similar repositories for product-quantization
Users that are interested in product-quantization are comparing it to the libraries listed below
Sorting:
- Supplementary Code for Unsupervised Neural Quantization for Compressed-Domain Similarity Search☆36Updated 5 years ago
- Code for ICML2019 paper: Learning to Route in Similarity Graphs☆58Updated 9 months ago
- Source code for learning and evaluation different quantzation methods☆26Updated 9 years ago
- Fast search algorithm for product-quantized codes via hash-tables☆53Updated 6 years ago
- Differentiable Product Quantization for End-to-End Embedding Compression.☆62Updated 2 years ago
- A compressed adaptive optimizer for training large-scale deep learning models using PyTorch☆27Updated 5 years ago
- Kmeans Quantization + Random Projection based Locality Sensitive Hashing☆28Updated 6 years ago
- Search with a hash index☆33Updated 6 years ago
- One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH☆74Updated 6 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆18Updated 6 years ago
- ☆15Updated 3 years ago
- Fast C++ implementation of https://github.com/yahoo/lopq: Locally Optimized Product Quantization (LOPQ) model and searcher for approximat…☆35Updated 5 years ago
- How should we evaluate supervised hashing☆28Updated 6 years ago
- [ICLR 2021] "UMEC: Unified Model and Embedding Compression for Efficient Recommendation Systems" by Jiayi Shen, Haotao Wang*, Shupeng Gui…☆39Updated 3 years ago
- Multi-index hashing for the resolution of ANN search problem on large datasets☆15Updated 6 years ago
- Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".☆62Updated 6 years ago
- ☆25Updated 6 years ago
- QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS☆60Updated 6 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- ☆53Updated 7 years ago
- ☆11Updated 4 years ago
- Cartesian k-means for approximate nearest neghbor search, codebook learning, etc.☆51Updated 11 years ago
- ☆31Updated 7 years ago
- ☆13Updated 6 years ago
- Implementation of our ICCV 2017 paper: MIHash - Hashing with Mutual Information☆34Updated 3 years ago
- A framework for index based similarity search.☆19Updated 6 years ago
- custom cuda kernel for {2, 3}d relative attention with pytorch wrapper☆43Updated 5 years ago
- Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020☆20Updated 5 years ago
- Anchor-t-SNE for large-scale and high-dimension vector visualization☆55Updated 5 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago