Topic Modelling for Humans
- gensim
- topic-modeling
- information-retrieval
- machine-learning
71,372 visible repositories in the index
1–9 of 9 · Most stars
Topic Modelling for Humans
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
Open-source inference server and production cluster for all the models your agent needs.
The code used to train and run inference with the ColVision models, e.g. ColPali, ColQwen2, and ColSmol.
Contrastive Language-Audio Pretraining
Pre-trained word vectors of 30+ languages
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.