Pinned Repositories
aiayn
art
Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
Attention_is_All_You_Need
emdr2
Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)
HITS-Hyperlink-Induced-Topic-Search
investigating-text-classifiers
Investigating the Working of Text Classifiers - COLING 2018
multilingual_nmt
Experiments on Multilingual NMT
ssl_text_classification
Semi Supervised Learning for Text-Classification
syntax-augmented-bert
Source code of the paper "Do Syntax Trees Help Pre-trained Transformers Extract Information?" (EACL 2021)
unsupervised-passage-reranking
Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"
DevSinghSachan's Repositories
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)
DevSinghSachan/unsupervised-passage-reranking
Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"
DevSinghSachan/ssl_text_classification
Semi Supervised Learning for Text-Classification
DevSinghSachan/syntax-augmented-bert
Source code of the paper "Do Syntax Trees Help Pre-trained Transformers Extract Information?" (EACL 2021)
DevSinghSachan/art
Code and models for the paper "Questions Are All You Need to Train a Dense Passage Retriever (TACL 2023)"
DevSinghSachan/multilingual_nmt
Experiments on Multilingual NMT
DevSinghSachan/Attention_is_All_You_Need
DevSinghSachan/investigating-text-classifiers
Investigating the Working of Text Classifiers - COLING 2018
DevSinghSachan/aiayn
DevSinghSachan/PyStanfordDependencies
Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Depenencies
DevSinghSachan/aspect_adversarial
Aspect-augmented Adversarial Networks for Domain Adaptation
DevSinghSachan/baseline
Strong Deep-Learning Baseline algorithms for NLP
DevSinghSachan/Best-README-Template
An awesome README template to jumpstart your projects!
DevSinghSachan/capsule-networks
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
DevSinghSachan/ConText
ConText v4: Neural networks for text categorization
DevSinghSachan/devsinghsachan.github.io
website
DevSinghSachan/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'.
DevSinghSachan/GPT2
An implementation of training for GPT2, supports TPUs
DevSinghSachan/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.
DevSinghSachan/nips17-dl-workshop-website
Website of the NIPS 2017 workshop: "Deep Learning: Bridging Theory and Practice"
DevSinghSachan/nmt
TensorFlow Neural Machine Translation Tutorial
DevSinghSachan/OpenNMT-py
Open Source Neural Machine Translation in PyTorch
DevSinghSachan/projects
🪐 End-to-end NLP workflows from prototype to production
DevSinghSachan/pytorch-ntm
Neural Turing Machines (NTM) - PyTorch Implementation
DevSinghSachan/ram
Recurrent Models of Visual Attention (RAM) with Chainer
DevSinghSachan/sentencepiece
DevSinghSachan/ThinkBayes
Code repository for Think Bayes.
DevSinghSachan/website
DevSinghSachan/weld
High-performance runtime for data analytics applications
DevSinghSachan/xnmt
eXtensible Neural Machine Translation