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aspect-based-sentiment-analysis

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

bert-relation-extraction

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

blink

Entity Linker solution

citationie

efficient-autoregressive-el

Pytorch implementation of Highly Parallel Autoregressive Entity Linking with Discriminative Correction

emoji-regex

A regular expression to match all Emoji-only symbols as per the Unicode Standard.

entqa

Pytorch implementation of EntQA paper

epubreader

epubReader is a standalone fluid infusion component. This project is about implementing a web based ePub reader component based on open web technologies for infusion framework

material-ui

MUI Core: Ready-to-use foundational React components, free forever. It includes Material UI, which implements Google's Material Design.

mem_absa

Aspect Based Sentiment Analysis using End-to-End Memory Networks

namaazapp

news-clustering

News clustering algorithm. Implementation of the "Multilingual Clustering of Streaming News" paper submitted to EMNLP 2018

numpytutorial

This project is built to host NumPy Tutorial presentation file.

rebel

REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).

rnnlib

RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/

scirex

Data/Code Repository for https://api.semanticscholar.org/CorpusID:218470122

scribe

Realistic Handwriting with Tensorflow

spert

PyTorch code for SpERT: Span-based Entity and Relation Transformer

ssan

Implementation for our AAAI2021 paper (Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction).

stock-risk-calculator

tensorflow-mnist-tutorial

Sample code for "Tensorflow and deep learning, without a PhD" presentation and code lab.

tensorflow-rnn-shakespeare

Code from the "Tensorflow and deep learning - without a PhD, Part 2" session on Recurrent Neural Networks.