Cleora
BaseModelAI
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by…
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Results: 52
BaseModelAI
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by…
huggingface
A blazing fast inference solution for text embeddings models
veekaybee
A deep dive into embeddings starting from fundamentals
Blaizzy
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
xlang-ai
[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
lilianweng
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.
yongzhuo
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastT…
MilaNLProc
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL an…
bheinzerling
Pre-trained subword embeddings in 275 languages, based on Byte-Pair Encoding (BPE)
veniceai
Call POST /embeddings on Venice. Covers request shape (input, model, encoding_format, dimensions, user), OpenAI compatibility, response compression (gzip/br), and practi…
jiegzhan
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
poloclub
Explore and interpret large embeddings in your browser with interactive visualization! 📍
estebanpdl
An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing
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