facebookresearch / spreadingvectorsLinks
Open source implementation of "Spreading Vectors for Similarity Search"
☆319Updated 4 years ago
Alternatives and similar repositories for spreadingvectors
Users that are interested in spreadingvectors are comparing it to the libraries listed below
Sorting:
- Fast and memory-efficient clustering☆262Updated last year
- PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.☆200Updated 6 years ago
- Fast and memory-efficient ANN with a subset-search functionality☆154Updated 3 months ago
- Pure python implementation of product quantization for nearest neighbor search☆351Updated 4 months ago
- Learning to Compose Domain-Specific Transformations for Data Augmentation☆172Updated 2 years ago
- Experiments with Adam/AdamW/amsgrad☆201Updated 7 years ago
- Implementations of ideas from recent papers☆392Updated 4 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆219Updated last year
- A library for ML benchmarking. It's powerful.☆438Updated last year
- Code for ICML2019 paper: Learning to Route in Similarity Graphs☆58Updated last year
- repo that holds code for improving on dropout using Stochastic Delta Rule☆142Updated 6 years ago
- Code for "MultiGrain: a unified image embedding for classes and instances"☆231Updated 5 years ago
- FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)☆69Updated 4 years ago
- Code for ECCV2018 paper: Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors☆215Updated 5 years ago
- Hierarchy-based Image Embeddings for Semantic Image Retrieval☆266Updated 4 years ago
- ☆160Updated 9 years ago
- Diffusion on manifolds for image retrieval☆126Updated 5 years ago
- Equi-normalization of Neural Networks☆115Updated 6 years ago
- fast library for ANN search and KNN graph construction☆296Updated 7 years ago
- A simple, flexible, and extensible template for PyTorch. It's beautiful.☆191Updated last year
- QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS☆61Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 5 years ago
- ☆306Updated 4 years ago
- Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"☆191Updated 7 years ago
- One-Shot Learning using Nearest-Neighbor Search (NNS) and Locality-Sensitive Hashing LSH☆75Updated 7 years ago
- Neural networks training pipeline based on PyTorch☆312Updated 5 years ago
- Self-supervised learning of visual features through embedding images into text topic spaces☆94Updated 3 years ago
- A utility library around PyTorch☆244Updated 2 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆94Updated 7 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago