Do some analysis based on main AI conferences
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Updated
Jun 13, 2024 - Python
Do some analysis based on main AI conferences
Topic Modelling for Humans
Targetted language identifier, based on FastText and Hunspell.
this project to developed a Python
⚡️ 80x faster language detection with Fasttext | Split text by language for TTS
Automatic paper clustering and search tool by fastext from Facebook Research
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
Using Neural Representations for Generating Intent-based Query Phrases
Tools for training schema-aware Web table embedding for unsupervised and supervised machine learning on tabular data
Corrects undetermined and not applicable subtitle flags within mkv files for anime.
A package for reading/writing files containing pre-trained word embeddings and building "embedding matrices".
State-of-the-art, lightweight NLP tools for Turkish language. Developed by VNGRS.
Serve your fastText models for text classification and word vectors
A text and document summarizer made in python with the txtai library and hosted on Streamlit.
Language detection using Spacy and Fasttext
Application for labelling transaction receipts, developed as part of the transaction data project. Predictions are made using the fastText algorithm.
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation),etc. All codes are implemented intensorflow 2.0.
Sample code for training Word2Vec and FastText using wiki corpus and their pretrained word embedding.
Add a description, image, and links to the fasttext topic page so that developers can more easily learn about it.
To associate your repository with the fasttext topic, visit your repo's landing page and select "manage topics."