Topic Modelling for Humans
- gensim
- topic-modeling
- information-retrieval
- machine-learning
Repository Index
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Retrieval and Retrieval-augmented LLMs
- embeddings
- information-retrieval
- llm
- sentence-embeddings
Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings
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
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
Representation learning on large graphs using stochastic graph convolutions.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
- machine-learning
- convolutional-networks
- embedding-vectors
- embeddings
Infinity is a high-throughput, low-latency serving engine for text-embeddings, reranking models, clip, clap and colpali
- llm
- text-embeddings
- bert-embeddings
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
Easily compute clip embeddings and build a clip retrieval system with them
- semantic-search
- deep-learning
- multimodal
- ai
A Toolkit for Industrial Topic Modeling
- topic-modeling
- topic-models
- lda
- sentence-lda
[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
- embeddings
- information-retrieval
- language-model
- text-classification
WeMM-Embedding is a family of universal multimodal embedding models by the WeChat Vision Team at Tencent, supporting multimodal understanding and retrieval.
- embedding-models
- multimodal
- multimodal-llm
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
A fast, efficient universal vector embedding utility package.
一行代码使用BERT生成句向量，BERT做文本分类、文本相似度计算
Tensorflow implementation of contextualized word representations from bi-directional language models
🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
repository for Publicly Available Clinical BERT 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
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.
- bilm
- elmo
- tensorflow
- machine-learning