sumantk

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

baselines-emnlp2016

This repository contains baseline models, training scripts, and instructions on how to reproduce our results for our state-of-art grammar correction system from M. Junczys-Dowmunt, R. Grundkiewicz: Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction, EMNLP 2016.

caffe

Caffe: a fast open framework for deep learning.

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

cord

CORD: A Consolidated Receipt Dataset for Post-OCR Parsing

deep-learning-architectures

deep_learning_application_repositories

DS-Career-Resources

Compilation of resources and insights that helped me on my journey to data scientist

face_recognition

The world's simplest facial recognition api for Python and the command line

harassment_classification

Classifying harassment into various types

indic-trans

The project aims on adding a state-of-the-art transliteration module for cross transliterations among all Indian languages including English.

LeetCode-C-

Forked

lstm-char-cnn-tensorflow

LSTM language model with CNN over characters in TensorFlow

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

NaiveSumm

NaiveSumm is a naive summarization approach based on Luhn1958 work "The Automatic Creation of Literature Abstracts" It uses the frequencies of words in the document in order to calculate and extract the sentences that include the most frequent words.

niche-nlp

nlp_tasks

Natural Language Processing Tasks and References

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Quick-Notes-for-ML-DS-interview

It contains interview preparation notes provided by iNeuron, important links, MLOps resources

sentiment

Notebook demonstrating bag-of-words sentiment analysis of tweets in scikit-learn

Stanford-ML-Labs

Labs from the Machine Learning Specialization program

word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.