Topic Modelling for Humans
- gensim
- topic-modeling
- information-retrieval
- machine-learning
Repository Index
87,075 visible repositories in the index
1–13 of 13 · Most stars
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Postgres with GPUs for ML/AI apps.
- ml
- machine-learning
- ai
- ann
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
[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings
- embeddings
- information-retrieval
- language-model
- text-classification
This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently used in many natural language processing applications and for further research.
🦆 Contextually-keyed word vectors
- spacy
- nlp
- natural-language-processing
- word2vec
A fast, efficient universal vector embedding utility package.
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
UCE is a zero-shot foundation model for single-cell gene expression data