kishore-25 Goto Github PK

awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

bert-squad

SQuAD Question Answering Using BERT, PyTorch

bigbird

Google's BigBird (Jax/Flax & PyTorch) @ 🤗Transformers

c4_200m-synthetic-dataset-for-grammatical-error-correction

This dataset contains synthetic training data for grammatical error correction. The corpus is generated by corrupting clean sentences from C4 using a tagged corruption model. The approach and the dataset are described in more detail by Stahlberg and Kumar (2021) (https://www.aclweb.org/anthology/2021.bea-1.4/)

customer-churn-prediction

darts

A python library for easy manipulation and forecasting of time series.

datasciencecoursera

datasharing

The Leek group guide to data sharing

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

getting-and-cleaning-data-course-project

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

gramformer

A framework for detecting, highlighting and correcting grammatical errors on natural language text. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

gsoc-wav2vec2

GSoC'2021 | TensorFlow implementation of Wav2Vec2

icdar-2019-sroie

ICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction

keybert

Minimal keyword extraction with BERT

macaw

Multi-angle c(q)uestion answering

memn2n-babi-python

End-To-End Memory Networks for bAbI question-answering tasks

mingpt-tf

A minimal Tensorflow re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

monai

AI Toolkit for Healthcare Imaging

monailabel

MONAI Label is an intelligent open source image labeling and learning tool.

neural-vqa-tensorflow

Visual Question Answering in Tensorflow.

nlp-experiments

NLP related python solutions and recipes I built

parrot_paraphraser

A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

pie

Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)

program-ab

Automatically exported from code.google.com/p/program-ab

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pyomeglebot

Automatically exported from code.google.com/p/pyomeglebot

question-answering-albert-electra

Question Answering using Albert and Electra

repdata_peerassessment1

Peer Assessment 1 for Reproducible Research

simplenlg

Automatically exported from code.google.com/p/simplenlg