The most accurate natural language detection library for Go, suitable for short text and mixed-language text
- natural-language-processing
- language-detection
- language-recognition
- language-classification
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The most accurate natural language detection library for Go, suitable for short text and mixed-language text
Natural language processing framework for Ruby.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Neural question generation using transformers
Pretrained model hub for Keras 3.
An R package for the Quantitative Analysis of Textual Data
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
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.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Natural Language Processing in Clojure (opennlp)
Robust Tetrahedral Meshing in the Wild.
Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.
Natural language detection library for Go
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
:grey_question: Visual Question Answering in Torch
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)