An open-source academic paper management tool.
2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题
Unofficial implementation of asm2vec using pytorch ( with GPU acceleration )
Including Knowledge Graph and Neural Language Processing (especially information extraction) papers from 20 top conferences:
A TensorFlow implement for "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".
NeuralNine is an educational brand focusing on programming, machine learning and computer science in general! Let's develop brains!
Utilizes Logistic Regression for automatic categorization of user comments into positive or negative sentiments. Ideal for gauging customer feedback, monitoring social media sentiment, and analyzing user comments. A robust solution for sentiment classification.
Get Powerful quotes on your phone or pc!!! NLP WEB APP
A survey of machine learning papers.
ツイートを学習して文章生成する
Machine Learning Resources
record my reading papers and reproduction code.
Tweet Classifier with feelings(positive or negative)
Repositório destinado ao curso de Inteligência Artificial com Python (CS50AI).
This project work as a NLP tool for precise identification and classification of named entities in text. Features state-of-the-art algorithms, customizable for various domains and entity types. Ensures fast and scalable processing of large text corpora.
Implements a sequence-to-sequence model with Long Short-Term Memory (LSTM) networks for accurate language translation. Utilizes deep learning techniques to seamlessly translate text from one language to another.
Nowadays almost all companies are working on Review Based Project Management techniques, So user reviews play a very crucial role in such a scenario so this model is able to rate each review on a scale of 1 to 5. BERT already have a pre-trained dataset of 6 different languages for this project, which made this model easier to develop. Then used …
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