augmented reinforment learning in tensorflow with open gym and blender or unity
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Updated
Jan 12, 2020
augmented reinforment learning in tensorflow with open gym and blender or unity
AAAI Knowledge NLP Submission
[WIP] Fast text augmentation for small text corvus
solution for https://www.kaggle.com/c/google-quest-challenge
Common approaches to text augmentation, from random text-editing perturbations, back translation, to model-based transformations.
MSc Thesis Code
Feature space Augmentation
Dritributed Text Augmentation Techniques (Appeared AAAI 2023)
Fast Augmentation library for NLP
This repo offers a Python script using NLPAug library & RTT to augment text datasets. It processes TXT files in "data/" folder, translating text and creating augmented versions. Augmented data enhances NLP tasks like chatbot training & text classification. Includes overview of techniques, applications & implementation.
🌟 Scott Miner's GitHub portfolio showcasing personal projects, coding skills, and expertise in Software Development/Data Analytics/AI/ML. Get in touch for collaboration!
A study that aims to unfold what emotions did Filipino students manifest during a year of Covid-19 quarantines.
Use online translation tool to effectively generates new datasets in other language from original datasets, especially from those popular standard baseline datasets for specific tasks.
This repository contains the data and code for the paper "Self-training with Two-phase Self-augmentation for Few-shot Dialogue Generation" (EMNLP2022-Findings).
Gathers machine learning and Tensorflow deep learning models for NLP problems
ANSI and Unicode are encoding standards used across the world by writers and common users. ANSI is an older encoding version and is used in operating systems like Windows 95/ 98 and much older systems. Unicode is a newer version of encoding used in the current day operating systems
Source Code, data, and results for my paper titled Linguistic Knowledge in Data Augmentation for Natural Language Processing: An Example on Chinese Question Matching.
This library helps you to create random words i.e noise in text data. Helpful in many tasks like the generation of random authorization token generation of constant or variable length, text data augmentation, etc.
Bangla Text Augmentation
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