PaddlePaddle/PaddleHelix
quality grade D, 48 out of 100Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
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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
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]
Self-Supervised Speech Pre-training and Representation Learning Toolkit
A curated list of network embedding techniques.
EVA Series: Visual Representation Fantasies from BAAI
A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.
A curated list of research papers in Sentence Reprsentation Learning and a sts leaderboard of sentence embeddings.
The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
Keyphrase or Keyword Extraction 基于预训练模型的中文关键词抽取方法(论文SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model 的中文版代码)
Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard
BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences
text2vec, text to vector. 文本向量表征工具,把文本转化为向量矩阵,实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型,开箱即用。
Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"
unified embedding model
[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
Train Models Contrastively in Pytorch
DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks
A list of contrastive Learning papers
[Survey] Masked Modeling for Self-supervised Representation Learning on Vision and Beyond (https://arxiv.org/abs/2401.00897)
[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning
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