Topic Modelling for Humans
- gensim
- topic-modeling
- information-retrieval
- machine-learning
47,133 repositories indexed
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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
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Translated100+ Chinese Word Vectors
Source code for Twitter's Recommendation Algorithm
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
🚀 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.
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
The repository host gives no description.
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.