Repository Index

Topic Modelling for Humans

• gensim
• topic-modeling
• information-retrieval
• machine-learning

A very simple framework for state-of-the-art Natural Language Processing (NLP)

• pytorch
• nlp
• named-entity-recognition
• sequence-labeling

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

• python
• search
• nlp
• semantic-search

Retrieval and Retrieval-augmented LLMs

• embeddings
• information-retrieval
• llm
• sentence-embeddings

Translated100+ Chinese Word Vectors

• chinese
• chinese-word-segmentation
• embeddings
• word-embeddings

Source code for Twitter's Recommendation Algorithm

Implementation and experiments of graph embedding algorithms.

• deepwalk
• node2vec
• line
• sdne

Representation learning on large graphs using stochastic graph convolutions.

Open-source inference server and production cluster for all the models your agent needs.

• embeddings
• vector-search
• data-pipeline
• deep-learning

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

• machine-learning
• convolutional-networks
• embedding-vectors
• embeddings

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

• embeddings
• openai
• rag
• retrieval

The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.

• colpali
• information-retrieval
• retrieval-augmented-generation
• vision-language-model

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

• community-detection
• graph-clustering
• deepwalk
• networkx

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

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

🤖 A Python library for learning and evaluating knowledge graph embeddings

• knowledge-graph-embeddings
• knowledge-graphs
• machine-learning
• link-prediction

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

• embeddings
• information-retrieval
• language-model
• text-classification

Nomic Developer API SDK

• python
• clustering
• duplicate-detection
• embeddings

A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.

Learning Heterogeneous Tactile Representation for General Dexterous Manipulation

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

UCE is a zero-shot foundation model for single-cell gene expression data