Repository Index

State-of-the-Art Embeddings, Retrieval, and Reranking

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

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

• bert
• sentence-encoding
• deep-learning
• clip-model

Retrieval and Retrieval-augmented LLMs

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

Translated100+ Chinese Word Vectors

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

ImageBind One Embedding Space to Bind Them All

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

Postgres with GPUs for ML/AI apps.

• ml
• machine-learning
• ai
• ann

Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.

• metric-learning
• deep-learning
• computer-vision
• machine-learning

A blazing fast inference solution for text embeddings models

• ai
• embeddings
• huggingface
• llm

Translatedtext2vec, text to vector. A text vector representation tool that converts text into vector matrices. It implements text representation and text similarity calculation models such as Word2Vec, RankBM25, Sentence-BERT, and CoSENT, and works out of the box.

• similarity
• nlp
• text-similarity
• text2vec

An Open-Source Package for Knowledge Embedding (KE)

• knowledge-embedding

Implementation and experiments of graph embedding algorithms.

• deepwalk
• node2vec
• line
• sdne

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

• nlp
• sentence-embeddings

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

Siamese and triplet networks with online pair/triplet mining in PyTorch

• machine-learning
• deep-learning
• siamese-network
• triplet-loss

Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali

• llm
• text-embeddings
• bert-embeddings

Easily compute clip embeddings and build a clip retrieval system with them

• semantic-search
• deep-learning
• multimodal
• ai

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

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

Fast State-of-the-Art Static Embeddings

• embeddings
• machine-learning
• model2vec
• nlp