Bodhisattwa Majumder (majumderb)

majumderb

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Home Page:http://www.majumderb.com/

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practical-nlp

Bodhisattwa Majumder's repositories

rezero

Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"

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recipe-personalization

EMNLP 2019: Generating Personalized Recipes from Historical User Preferences

compac

EMNLP 2020: Personalized Dialog Generation with Commonsense

pabst

Code for "Unsupervised Enrichment of Persona-grounded Dialog with Background Stories", ACL 2021

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poki

Official Repository for "Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection", ACL 2022

TheFaultEngine

The Fault Engine consists three modules - 1. Transient Alarm detection, 2. Root cause Analysis, 3. Correlated Clusters

sanskrit-ocr

CoNLL 2018: Post-OCR Text Correction in Romanised Sanskrit

poetry2prose

Sequence to Sequence Modeling, Encoder-Decoder

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Practical_NLP

Final repo for notebooks for the book

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AspectSegmentedOpinionMining

This projects demonstrates three parts - Aspect Segmenter & Sentiment Scoring for Various Aspects, Latent Aspect Emphasis Regression and Aspect Level Opinion Mining via Summarization

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cnn-text-classification-pytorch

CNNs for Sentence Classification in PyTorch

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DataScienceGame2016

The code is for a CNN to classify the satellite based on orientation of rooftops - Preliminary problem for Data Science Game 2016

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Exotic-Options

This includes code to model the joint distributions to form exotic options - GS Quantify

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FacebookCrawl

This code is for crawling posts (image) and comments (image) from a particular page in Facebook. To get the access token, one needs to sign in at developers.facebook.com and use the app Facebook Graph API to generate the access tokens

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ML-in-R

Contains codes in R to implement Decision Tree, Random Forest, Logistic Regression, XGBoost

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ParlAI

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

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skt

Sanskrit compound segmentation using seq2seq model

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story-generation

Code for Improving Neural Story Generation by Targeted Common Sense Grounding

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