abiraja2004 Goto Github PK

100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

100-days-of-ml-code

A day to day plan for this challenge. Covers both theoritical and practical aspects

100-pandas-puzzles

Sharpen your skills with 100 short data problems, ranging from very easy to super tricky (50% complete)

100-times-faster-nlp

🚀100 Times Faster Natural Language Processing in Python - iPython notebook

10_days_of_deep_learning

10 days 10 different practical applications of Deep Learning (primarily NLP) using Tensorflow and Keras

2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2015

Public material for CS109

2017-dlsl-msc-team1-sentiment-analysis-based-on-movie-reviews-using-recurrent-neural-networks-lstm-

Sentiment Analysis with RNN

2020-cs109a

26-weeks-of-data-science

Email Newsletter

2daycourse

My 2-day short course on spatial data analytics and geostatistics. I hope these resources are helpful, Prof. Michael Pyrcz

52-weeks-of-data-science

a-collection-of-important-tasks-in-pytorch

Everyday things people use in Pytorch. No need to spend hours reading Pytorch forums trying to find them!

a3c-summarization

actor-critic model for text summarization

abstractive-text-summarization-for-amazon-reviews

abstractive_summarization

abstractive_summarization-1

My implementation of paper "Opinosis: A Graph-Based Approach to Abstractive Summarization of Highly Redundant Opinions" using python and twitter data

abstractivesummarization

abstractphrasesummarization

abtextsumm

Abstractive Summarization IJCAI paper code

academic_advisory

Collected opinions and advice for academic programs focused on data science skills.

accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) that I have written in my website.

acl2016-convincing-arguments

Code and data for ACL2016 article "Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM" by Ivan Habernal and Iryna Gurevych"

acl2016-optimizing-rouge

Code for our optimizer which takes scored sentences and extract the best summary according to the ROUGE approximation.

acl2017-interactive_summarizer

A general framework for Interactive Multi-Document Summarization

acl2017-theta_evaluation_summarization

acl2019-bert-argument-classification-and-clustering

acm-icpc-algorithms

Algorithms used in Competitive Programming

acm_datasciencecamp_2015

Materials for the October 24, 2015 tutorial: Introduction to R for Machine Learning at that ACM Data Science Camp

adaptive-clpso

Adaptive Parameter Selection in Comprehensive Learning Particle Swarm Optimizer