bohanli/BERT-flow
quality grade D, 40 out of 100TensorFlow implementation of On the Sentence Embeddings from Pre-trained Language Models (EMNLP 2020)
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Text and multimodal embedding models, rerankers and representation learning.
Signals: embeddings, sentence-embeddings, text-embeddings, sentence-transformers, reranking, representation-learning, contrastive-learning
71 results
TensorFlow implementation of On the Sentence Embeddings from Pre-trained Language Models (EMNLP 2020)
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
Tensorflow implementation of contextualized word representations from bi-directional language models
The Clay Foundation Model - An open source AI model and interface for Earth
Open Source Semantic Search for your AI Agent
This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks
Four word embedding models implemented in Python. Supporting arbitrary context features
Simple web service providing a word embedding model
Python library for knowledge graph embedding and representation learning.
No description
DScribe is a python package for creating machine learning descriptors for atomistic systems.
torch-molecule is a deep learning package for molecular discovery, designed with an sklearn-style interface for property prediction, inverse design and representation learning.
DeepWalk - Deep Learning for Graphs
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
LibCity: An Open Library for Urban Spatial-temporal Data Mining
A comprehensive list of awesome contrastive self-supervised learning papers.
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Self-Supervised Speech Pre-training and Representation Learning Toolkit
A curated list of network embedding techniques.
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