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)
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
Retrieval and Retrieval-augmented LLMs
Source code for Twitter's Recommendation Algorithm
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
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.
🚀 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.
repository for Publicly Available Clinical BERT Embeddings
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.