State-of-the-Art Embeddings, Retrieval, and Reranking
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Topic Modelling for Humans
- gensim
- topic-modeling
- information-retrieval
- machine-learning
A very simple framework for state-of-the-art Natural Language Processing (NLP)
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
- python
- search
- nlp
- semantic-search
Translated100+ Chinese Word Vectors
- chinese
- chinese-word-segmentation
- embeddings
- word-embeddings
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
Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.
- chinese
- computer-vision
- multi-modal-learning
- nlp
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.
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
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
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
[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
NeurIPS 2025 Spotlight; ICLR2024 Spotlight; CVPR 2024; EMNLP 2024
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.
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.