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KumarR's Projects

quoter icon quoter

Official code and data of the ACL 2022 paper "QuoteR: A Benchmark of Quote Recommendation for Writing"

ruptures icon ruptures

ruptures: change point detection in Python

self-driving-car icon self-driving-car

Implementation of the paper "End to End Learning for Self-Driving Cars"

so-cal icon so-cal

Semantic Orientation Calculator for Sentiment Analysis

softx_2018_196 icon softx_2018_196

PyTOPS: A Python based tool for TOPSIS. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711018302279

surprise icon surprise

A Python scikit for building and analyzing recommender systems

temporal-gcn-lstm icon temporal-gcn-lstm

Code for Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat

tensor2tensor icon tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tensorflow-tutorial icon tensorflow-tutorial

Welcome to the Tensorflow tutorial series. In this tutorial I have talked about how to get started with Tensorflow .The only prerequisite is the basics of python and numpy( optional).

tesseract icon tesseract

Tesseract Open Source OCR Engine (main repository)

torchdistill icon torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆20 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

vadersentiment icon vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

vmf_vae_nlp icon vmf_vae_nlp

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

wnaffect icon wnaffect

A python module to get the emotion of a word.

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