DevSinghSachan

emdr2

Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)

ssl_text_classification

Semi Supervised Learning for Text-Classification

unsupervised-passage-reranking

Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"

syntax-augmented-bert

Source code of the paper "Do Syntax Trees Help Pre-trained Transformers Extract Information?" (EACL 2021)

art

Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"

multilingual_nmt

Experiments on Multilingual NMT

Attention_is_All_You_Need

investigating-text-classifiers

Investigating the Working of Text Classifiers - COLING 2018

aiayn

PyStanfordDependencies

Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Depenencies

aspect_adversarial

Aspect-augmented Adversarial Networks for Domain Adaptation

baseline

Strong Deep-Learning Baseline algorithms for NLP

Best-README-Template

An awesome README template to jumpstart your projects!

capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

ConText

ConText v4: Neural networks for text categorization

devsinghsachan.github.io

website

filterpy

Kalman filtering and optimal estimation library in Python. Kalman filter, Extended Kalman filter, Unscented Kalman filter, g-h, least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

GPT2

An implementation of training for GPT2, supports TPUs

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

nips17-dl-workshop-website

Website of the NIPS 2017 workshop: "Deep Learning: Bridging Theory and Practice"

nmt

TensorFlow Neural Machine Translation Tutorial

OpenNMT-py

Open Source Neural Machine Translation in PyTorch

projects

🪐 End-to-end NLP workflows from prototype to production

pytorch-ntm

Neural Turing Machines (NTM) - PyTorch Implementation

ram

Recurrent Models of Visual Attention (RAM) with Chainer

sentencepiece

ThinkBayes

Code repository for Think Bayes.

website

weld

High-performance runtime for data analytics applications

xnmt

eXtensible Neural Machine Translation