Explore the relationship between twitter sentiment of Tesla and its stock price/return.
Explore the effect of different BERT-based models on twitter sentiment 3-class classification.
Explore the performance of different hyper-parameter tuning methods for transformers: random search, bayesian optimization and population based training.
Word-Level Coreference Resolution This is a repository with the code to reproduce the experiments described in the paper of the same name, which was a
Ai-ChatBot-Python A chatbot is an intelligent system which can hold a conversation with a human using natural language in real time. Due to the rise o
SAINT-pytorch A Simple pyTorch implementation of "Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing" based on https://arx
talk-preview-img-builder A tool helps build a talk preview image by combining the given background image and talk event description Installation and U
Word Counter By EBUS Coding Club Count the frequency of letters or words in a text file and show a graph. Requirements Python 3.9 or higher matplotlib
Natural Language Processing with PyTorch Build Intelligent Language Applications Using Deep Learning By Delip Rao and Brian McMahan Welcome. This is a
KLUE Baseline Korean(한국어) KLUE-baseline contains the baseline code for the Korean Language Understanding Evaluation (KLUE) benchmark. See our paper fo
UltraDict Sychronized, streaming Python dictionary that uses shared memory as a backend Warning: This is an early hack. There are only few unit tests
Simple NLP based project without any use of AI
SGMC: Spectral Graph Matrix Completion Code for AAAI21 paper "Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning". Data Format
This is a Python based Voice Assistant. This was programmed to increase my understanding of python and also how the in-general Voice Assistants work.
prompt2slip This library is testing the ethics of language models by using natural adversarial texts. This tool allows for short and simple code and v
Nagisa is a python module for Japanese word segmentation/POS-tagging. It is designed to be a simple and easy-to-use tool. This tool has the following
pyjpboatrace :speedboat: provides you with useful tools for data analysis and auto-betting for boatrace.
spacy-transformers: Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy This package provides spaCy components and architectures to use tr
nlpcommon nlpcommon, Python Text Tool. Guide Feature Install Usage Dataset Contact Cite Reference Feature nlpcommon is a python Open Source
japanese-ebook-analysis This aim of this project is to make analysing the contents of a japanese ebook easy and streamline the process for non-technic
With DataQA, you can label unstructured text documents using rule-based distant supervision.
transformer-sequential This repo contains the code for two papers: Feedback Transformer Expire-Span The training code is structured for long sequentia
multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search
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