facebookresearch / spreadingvectorsLinks
Open source implementation of "Spreading Vectors for Similarity Search"
☆320Updated 4 years ago
Alternatives and similar repositories for spreadingvectors
Users that are interested in spreadingvectors are comparing it to the libraries listed below
Sorting:
- Learning to Compose Domain-Specific Transformations for Data Augmentation☆172Updated 3 years ago
- PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.☆206Updated 7 years ago
- A library for ML benchmarking. It's powerful.☆439Updated 2 years ago
- Fast and memory-efficient ANN with a subset-search functionality☆153Updated 7 months ago
- Fast and memory-efficient clustering☆263Updated 2 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 7 years ago
- Pure python implementation of product quantization for nearest neighbor search☆359Updated 8 months ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.☆219Updated last year
- ☆160Updated 9 years ago
- Hierarchy-based Image Embeddings for Semantic Image Retrieval☆267Updated 4 years ago
- Implementations of ideas from recent papers☆392Updated 5 years ago
- Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"☆94Updated 8 years ago
- FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)☆69Updated 5 years ago
- Experiments with Adam/AdamW/amsgrad☆201Updated 7 years ago
- Code for "MultiGrain: a unified image embedding for classes and instances"☆231Updated 6 years ago
- repo that holds code for improving on dropout using Stochastic Delta Rule☆141Updated 7 years ago
- Diffusion on manifolds for image retrieval☆126Updated 6 years ago
- Code for ICML2019 paper: Learning to Route in Similarity Graphs☆61Updated last year
- Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"☆191Updated 8 years ago
- QuickerADC is an implementation of highly-efficient product quantizers leveraging SIMD shuffle instructions integrated into FAISS☆61Updated 7 years ago
- Self-supervised learning of visual features through embedding images into text topic spaces☆94Updated 3 years ago
- Differentiable bitonic sorting☆141Updated 5 years ago
- Distance Metric Learning Algorithms for Python☆175Updated 4 years ago
- ☆223Updated 5 years ago
- Code to reproduce some of the figures in the paper "On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima"☆146Updated 8 years ago
- A simple, flexible, and extensible template for PyTorch. It's beautiful.☆191Updated 2 years ago
- Equi-normalization of Neural Networks☆116Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- Sparse and structured neural attention mechanisms☆225Updated 5 years ago
- Code for experiments regarding importance sampling for training neural networks☆328Updated 4 years ago