Repository Index

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

• python
• search
• nlp
• semantic-search

Representation learning on large graphs using stochastic graph convolutions.

[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

• nlp
• sentence-embeddings

State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!

Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

• machine-learning
• knowledge-graph
• relational-learning
• representation-learning

Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

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 Synerise.com team.

• ai
• graphs
• synerise
• embeddings

Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.

• artificial-intelligence
• clip
• pathology
• vision-and-language

BulkFormer: A large-scale foundation model for human bulk transcriptomes