☆31Nov 21, 2017Updated 8 years ago
Alternatives and similar repositories for CompositeQuantization
Users that are interested in CompositeQuantization are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source code for learning and evaluation different quantzation methods☆26Jun 10, 2015Updated 11 years ago
- Very accessible code for my MSc thesis. Inexpensive quantization method for ANN search also known as Enhanced Residual VQ.☆14Jun 15, 2020Updated 6 years ago
- Cartesian k-means for approximate nearest neghbor search, codebook learning, etc.☆52Sep 27, 2013Updated 12 years ago
- ☆15Apr 18, 2020Updated 6 years ago
- The Demo of Our CVPR paper "Cross-Modality Binary Code Learning via Fusion Similarity Hashing"☆14Sep 7, 2017Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- The implementation of CVPR-17 paper "Deep Visual-Semantic Quantization of Efficient Image Retrieval"☆68Jul 4, 2017Updated 9 years ago
- ☆11May 10, 2018Updated 8 years ago
- ☆22Jul 25, 2018Updated 8 years ago
- product quantization experiments☆26Mar 12, 2017Updated 9 years ago
- ☆25Jul 26, 2018Updated 8 years ago
- 自己使用的一些工具☆23Jan 13, 2017Updated 9 years ago
- ☆19Dec 16, 2020Updated 5 years ago
- Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Pyth…☆568Apr 14, 2019Updated 7 years ago
- Search with a hash index☆33Mar 27, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- GPU-based large scale Approx. Nearest Neighbor Search, accepted at CVPR 2016☆92Nov 3, 2018Updated 7 years ago
- ☆160Aug 30, 2016Updated 10 years ago
- Fast search algorithm for product-quantized codes via hash-tables☆54Jul 3, 2018Updated 8 years ago
- Code for my PhD thesis. Library of quantization-based methods for fast similarity search in high dimensions. Presented at ECCV 18.☆63Aug 23, 2021Updated 5 years ago
- 斯坦福大学CS231n课程作业项目:深度学习、卷积神经网络等☆11Mar 2, 2018Updated 8 years ago
- Code for papers "Hashing with Mutual Information" (TPAMI 2019) and "Hashing with Binary Matrix Pursuit" (ECCV 2018)☆19Oct 11, 2019Updated 6 years ago
- 🌍 v2ex - 创意工作者社区☆11Oct 6, 2015Updated 10 years ago
- Tensorflow implementation of a supervised approach to learn highly compressed image representations☆26Nov 22, 2017Updated 8 years ago
- A book tries to give some guide for content-based image retrieval☆19Oct 16, 2017Updated 8 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Theano implementation of T1-T2 gradient-based method for tuning continuous hyperparameters.☆10Jun 20, 2016Updated 10 years ago
- This is the implementation for the paper "Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval"☆14Dec 7, 2017Updated 8 years ago
- Fast algorithms for computing XX^T for binary matrices☆14Sep 24, 2019Updated 6 years ago
- SRS - Fast Approximate Nearest Neighbor Search in High Dimensional Euclidean Space With a Tiny Index☆55May 25, 2015Updated 11 years ago
- Several variations of a dot product benchmark.☆11Dec 10, 2012Updated 13 years ago
- Video retrieval from query images☆11Oct 10, 2017Updated 8 years ago
- Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)☆245Aug 2, 2019Updated 7 years ago
- QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS☆62Jan 3, 2019Updated 7 years ago
- randomized SVD with single pass over data matrix☆10Apr 23, 2023Updated 3 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆11May 13, 2018Updated 8 years ago
- The Python SDK for the Pit30M large scale visual localization dataset.☆19Jan 4, 2025Updated last year
- Pytorch implementation of "Fast Training of Triplet-based Deep Binary Embedding Networks".☆40Dec 14, 2017Updated 8 years ago
- Implementation for the CVPR2020 paper "Zero-Assignment Constraint for Graph Matching with Outliers"☆18Jun 13, 2020Updated 6 years ago
- A framework for large-scale feature extraction, indexing and retrieval.☆61Mar 4, 2016Updated 10 years ago
- [CIKM'23] Test Time Embedding Normalization for Popularity Bias Mitigation☆15Jan 9, 2024Updated 2 years ago
- Source code of our TCSVT 2017 paper "SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval"☆14May 29, 2019Updated 7 years ago