Name: Joseph Imperial
Type: User
Company: University of Bath
Bio: Working on NLP/NLG for Education. Doctoral Researcher at UKRI CDT in Accountable, Responsible, and Transparent AI at the University of Bath, UK.
Twitter: josephimperial_
Location: United Kingdom
Blog: https://www.josephimperial.com
Joseph Imperial's Projects
Simple Artificial Neural Network with Backpropagation in Excel spreadsheet with XOR example - for education purpose;
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
NLP model implementations with keras for beginner
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
This repository contains the main primer file for kickstarting NLP research intended for a Filipino student's use. The primer contains short discussions on basic NLP processes, example published NLP papers by Filipino students and researchers, open-source codes and repositories, and links to online tools.
YSDA course in Natural Language Processing
Some notes on Causal Inference, with examples in python
Data Wrangling with Python and pandas
This repository contains the Philippine Languages Online Corpora (PLOC)
"Probabilistic Machine Learning" - a book series by Kevin Murphy
A course in reinforcement learning in the wild
Practice basic SQL syntax with Jupyter notebook. SQL is particularly useful in handling structured data where there are relations between different entities/variables of the data. SQL is a very important tool for data scientists to have in their repertoire.
Code examples of Problem Solving in Data Structures and Algorithms using Java
Propensity score matching for feature selection
📗 Score text readability using a number of formulas: Flesch-Kincaid Grade Level, Gunning Fog, ARI, Dale Chall, SMOG, and more
Notebook and slides for my talk at Pydata NYC 2018
A reinforcement learning based tennis game - Discrete mathematics approach
A simple Python wrapper for facebook graph api :sparkles: :cake: :sparkles: .
IPython Notebooks to learn Python
Python tutorial series
A Python wrapper around the Twitter API.
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
Rank-based Unsupervised Keyword Extraction via Metavertex Aggregation
This directory contains the RC readability calculator project. The RC is a python program designed to calculate readability formulae and features for German.
Dataset containing scroll interactions of 598 partcipants reading advanced and elementary texts from the OneStopEnglish corpus
Minimal and Clean Reinforcement Learning Examples
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Python Implementation of Reinforcement Learning: An Introduction