Repository Index

Topic Modelling for Humans

• gensim
• topic-modeling
• information-retrieval
• machine-learning

A very simple framework for state-of-the-art Natural Language Processing (NLP)

• pytorch
• nlp
• named-entity-recognition
• sequence-labeling

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

• bert
• sentence-encoding
• deep-learning
• clip-model

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.

• nlp
• natural-language-processing
• artificial-intelligence
• 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

UCE is a zero-shot foundation model for single-cell gene expression data