A curated list of pretrained sentence and word embedding models
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Updated
Apr 23, 2021 - Python
A curated list of pretrained sentence and word embedding models
A curated list of awesome embedding models tutorials, projects and communities.
Python library for knowledge graph embedding and representation learning.
Generative Representational Instruction Tuning
OpenL3: Open-source deep audio and image embeddings
Implementations of Embedding-based methods for Knowledge Base Completion tasks
Plugin that lets you use LM Studio to ask questions about your documents including audio and video files.
Image search engine
Word Embeddings for Information Retrieval
Neural Code Comprehension: A Learnable Representation of Code Semantics
Web-ify your word2vec: framework to serve distributional semantic models online
Self-Supervised Noise Embeddings (Self-SNE)
tensorflow prediction using c++ api
A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.
ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.
langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.
Encoding position with the word embeddings.
A monolingual and cross-lingual meta-embedding generation and evaluation framework
Generates a set of property-specific entity embeddings from knowledge graphs using node2vec
🐸 KERMIT - A lightweight library to encode and interpret Universal Syntactic Embeddings
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