DevSinghSachan

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/anchor-baggage

Experimentation code for the article "Building Topic Models Based on Anchor Words" based on the paper "Learning Topic Models: Going beyond SVD" by Sanjeev Arora, Rong Ge, and Ankur Moitra.

DevSinghSachan/code

DevSinghSachan/corputils

Utilities for manipulating text corpora

DevSinghSachan/courserecommender

Course Recommendation using k-means clustering.

DevSinghSachan/deepnet

Implementation of some deep learning algorithms.

DevSinghSachan/gradient_optimizers

Python package for wrapping gradient optimizers for models in Theano

DevSinghSachan/hat-trie-1

HAT-Trie for Python

DevSinghSachan/information-retrieval

Stanford CS276 Solutions

DevSinghSachan/MEIBP

Maximization-Expectation Indian Buffet Process (submodular IBP)

DevSinghSachan/nngraph

Graph Computation for nn

DevSinghSachan/phrases

DevSinghSachan/PVDM

Implementation of Q.V. Le, and T. Mikolov, "Distributed Representations of Sentences and Documents ICML", 2014.

DevSinghSachan/pybloomfiltermmap

Fast Python Bloom Filter using Mmap

DevSinghSachan/reg

DevSinghSachan/rsm

Topic analysis using RSM or PVDM.

DevSinghSachan/scipy2013-cython-tutorial

DevSinghSachan/sent-analysis

DevSinghSachan/shark-rb

Shark C++ library bindings in Ruby implementing uBlas vectors & matrices, Shark RBMs, Neural-Nets, PCA, and more.

DevSinghSachan/sim-shootout

Code for "Performance shootout between nearest-neighbour libraries": http://radimrehurek.com/2013/11/performance-shootout-of-nearest-neighbours-intro

DevSinghSachan/SimpleLDA-R

a simple R implementation of variational inference for LDA

DevSinghSachan/SME

DevSinghSachan/sparsesvd

Python wrapper around SVDLIBC, a fast library for sparse Singular Value Decomposition

DevSinghSachan/Stanford-Probabilistic-Graphical-Models-Coursera

DevSinghSachan/tan-clustering

Hierarchical word clustering, following "Brown clustering" (Brown et al., 1992)

DevSinghSachan/TextBlob

Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

DevSinghSachan/tnn

Tree structure neural network

DevSinghSachan/tweetokenize

Tokenization and pre-processing for Twitter data used to train classifiers.

DevSinghSachan/wikipedia_parser

Parse Wikipedia dumps, extracts links, and page types.