graph-embeddings / pbg-helperLinks
This is a helper for PyTorch-BigGraph
☆22Updated 5 years ago
Alternatives and similar repositories for pbg-helper
Users that are interested in pbg-helper are comparing it to the libraries listed below
Sorting:
- Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"☆42Updated 7 years ago
- A supplementary code for Beyond Vector Spaces: Compact Data Representation as Differentiable Weighted Graphs.☆47Updated 5 years ago
- PyTorch implementation of StarSpace as described in "StarSpace: Embed All The Things!" by Ledell Wu, Adam Fisch, Sumit Chopra, Keith Adam…☆51Updated 7 years ago
- Model for learning document embeddings along with their uncertainties☆36Updated last year
- Density Order Embeddings☆33Updated 6 years ago
- Implementation of GloVe in Keras☆45Updated 2 years ago
- Code for the paper: Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors, ICLR 2019.☆43Updated 3 years ago
- ☆34Updated 7 years ago
- Experimental code for the paper 'Finding Convincing Arguments Using Scalable Bayesian Preference Learning'☆12Updated 2 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Repository for experiments with MetaProd2Vec and related algorithms.☆59Updated 6 years ago
- GNES Hub ship AI/ML models as Docker containers and use Docker containers as plugins.☆34Updated 5 years ago
- Large Scale BERT Distillation☆33Updated 2 years ago
- PyTorch Flexible Hash Embeddings☆28Updated 5 years ago
- Code for hyperboloid embeddings for knowledge graph entities☆37Updated 4 months ago
- Break Wikidata dumps into smaller knowledge graphs☆43Updated 5 years ago
- Code for "Effective Dimensionality Reduction for Word Embeddings".☆133Updated 4 years ago
- [NeurIPS 2019] Spherical Text Embedding☆179Updated last year
- Pretrained Biomedical Name Encoder☆15Updated 6 years ago
- Stacked Denoising BERT for Noisy Text Classification (Neural Networks 2020)☆32Updated 2 years ago
- The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators☆53Updated last year
- Sentiment analysis with variable length sequences in pytorch☆34Updated 6 years ago
- Tools for training pytorch language models☆27Updated 4 years ago
- Refer to paper "Embedding-based News Recommendation for Millions of Users" & "Article De-duplication Using Distributed Representations" p…☆31Updated 2 years ago
- Multi-relational Poincaré Graph Embeddings☆161Updated 6 years ago
- PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.☆200Updated 6 years ago
- ☆14Updated 8 years ago
- Neural-IR-Explorer: A Content-Focused Tool to Explore Neural Re-Ranking Results☆32Updated 5 years ago
- Implementation of DeepXML☆63Updated 3 years ago
- hierarchical convolutional attention networks for text classification☆16Updated 6 years ago