Fast, Accurate, Lightweight Python library to make State of the Art Embedding
- embeddings
- openai
- rag
- retrieval
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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
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
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
Contrastive Language-Audio Pretraining
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
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
- machine-learning
- knowledge-graph
- relational-learning
- representation-learning
Pre-trained word vectors of 30+ languages
- vector
- word2vec
- language
- fasttext
The repository host gives no description.
🤖 A Python library for learning and evaluating knowledge graph embeddings
- knowledge-graph-embeddings
- knowledge-graphs
- machine-learning
- link-prediction
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
[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
Netease Youdao's open-source embedding and reranker models for RAG products.
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
- word2vec
- text-mining
- natural-language-processing
- glove
🚀 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
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.