Comprises a set of techniques to work with documents written in a natural language to achieve many different objectives.
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Updated
Jan 15, 2019 - Python
Comprises a set of techniques to work with documents written in a natural language to achieve many different objectives.
Vote the Best LLM by yourself! 票选你最喜欢的大语言模型
This repo contains a portfolio of Python code and related documentation I wrote for my graduate coursework at Colorado State University - Global Campus.
Fork of RNNLG for neural network based natural language generation in Python 3
Fine Tuned GPT-2 Text Generation Model on Donald Trump's Rally Speeches for US Presidential Elections.
Bigram Language Model
Official repository of Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization [EMNLP'22 Findings]
A generative model for text, character-by-character using LSTM recurrent neural networks in Python with Keras. Later extending to make Predictive Keyboard.
Unsupervised NMT based on Masked Seq-to-Seq
Image Captioning is the process of generating a textual description for given images. Image captioning can be regarded as an end-to-end Sequence to Sequence problem, as it converts images, which is regarded as a sequence of pixels to a sequence of words. Image captioning has a huge amount of application.
Text Generation using bi-gram and markov chain.
Tensorflow implementation of the original GPT.
A dialogue bot for information access
Semantic Description of Images- A deep learning model for describing images using natural language.
Finding relationships between words
Image captioning from scratch (or pre-trained vision/language models) using transformers
Numpy implementation of character-level RNN
Sequence-to-sequence
Implementation of AAAI' 18 paper: A Deep Generative Framework for Paraphrase Generation
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