loretoparisi / lshashLinks
locality sensitive hashing (LSHASH) for Python3
☆72Updated 5 months ago
Alternatives and similar repositories for lshash
Users that are interested in lshash are comparing it to the libraries listed below
Sorting:
- Clustering for arbitrary data and dissimilarity function☆97Updated last year
- Extremely simple and fast extreme multi-class and multi-label classifiers.☆70Updated 6 months ago
- GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition☆31Updated 3 years ago
- To reproduce experiments of the paper "Entity Matching with Transformer Architectures"☆27Updated 5 years ago
- Implementation of vector quantization algorithms, codes for Norm-Explicit Quantization: Improving Vector Quantization for Maximum Inner P…☆59Updated 4 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆30Updated 4 years ago
- string embed for fast edit distance computation, codes for [Convolutional Embedding for Edit Distance (SIGIR 20)].☆62Updated 2 years ago
- ☆40Updated 2 years ago
- (Personalized) Page-Rank computation using PyTorch☆92Updated 2 years ago
- Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)☆70Updated 2 years ago
- Scalable Hierarchical Clustering with Tree Grafting☆28Updated 3 years ago
- DECAF: Deep Extreme Classification with Label Features☆54Updated 3 years ago
- A simple implementation of locality sensitive hashing in python☆25Updated 8 years ago
- Implementation of DeepXML☆64Updated 3 years ago
- Tools for multi-label classification problems.☆129Updated 6 months ago
- Implementation of the paper "Deep Indexed Active Learning for Matching Heterogeneous Entity Representations"☆18Updated 3 years ago
- Official cleanlab repo is at https://github.com/cleanlab/cleanlab☆58Updated 2 years ago
- Vectorizers for a range of different data types☆103Updated 2 weeks ago
- Applying Snorkel to SuperGLUE☆26Updated 5 years ago
- Neural LSH [ICLR 2020] - Using supervised learning to produce better space partitions for fast nearest neighbor search.☆73Updated 4 years ago
- Model for learning document embeddings along with their uncertainties☆36Updated last year
- This project focuses on DeepER, a deep learning framework for entity resolution (record deduplication). It examines how DeepER performs o…☆47Updated 7 years ago
- This is a helper for PyTorch-BigGraph☆22Updated 5 years ago
- SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations☆11Updated 2 years ago
- ☆32Updated 4 years ago
- Vespa application making an index of the CORD-19 dataset.☆39Updated 3 months ago
- Code and Supplementary Material to the Paper: Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysi…☆37Updated 2 years ago
- Pyinfer is a model agnostic tool for ML developers and researchers to benchmark the inference statistics for machine learning models or f…☆24Updated 4 years ago
- [KDD 2020] Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding☆58Updated 4 years ago
- The stream-learn is an open-source Python library for difficult data stream analysis.☆65Updated last month