Shashank's starred repositories
open-source-mac-os-apps
🚀 Awesome list of open source applications for macOS. https://t.me/s/opensourcemacosapps
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
Data-Science-Cheatsheet
A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.
ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
conv-emotion
This repo contains implementation of different architectures for emotion recognition in conversations.
eth-cs-notes
Lecture notes and cheatsheets for Master's in Computer Science at ETH Zurich
NLP_Quickbook
NLP in Python with Deep Learning
ABSA-BERT-pair
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)
BERT-for-RRC-ABSA
code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"
BERT-E2E-ABSA
[EMNLP 2019 Workshop] Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
RoboLeague
A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.
keras-xlnet
Implementation of XLNet that can load pretrained checkpoints
Panoramic-Image-Stitching-using-invariant-features
Given a number of input images, concatenate all images to produce a panoramic image using invariant features.
AspectBasedSentimentAnalysis
Aspect Based Sentiment Analysis is a special type of sentiment analysis. In an explicit aspect, opinion is expressed on a target(opinion target), this aspect-polarity extraction is known as ABSA.
Image-Stitching
OpenCV and Python program to stitch two input images.
EECS442-Image-Stitching
Harris corner detector is used to find the region of interest. SIFT descriptor is used to generate fingerprint around the interest point. RANSAC algorithm is used to fit the Homography Transform model.
micro_expression_res3d_CASME2_tensorflow
A res_3D based detection system for micro expression recognition
pfootprint-nlp
Political Discourse Analysis Using Pre-Trained Word Vectors.
python-word-error-rate
Calculates the word error rate of two strings, and the result is written into beautify HTML.
Friends-and-Enemies-of-Clinton
Stance detection, the task of identifying the speaker's opinion towards a particular target, has attracted the attention of researchers. This paper describes a novel approach for detecting stance in Twitter. We define a set of features in order to consider the context surrounding a target of interest with the final aim of training a model for predicting the stance towards the mentioned targets. In particular, we are interested in investigating political debates in social media. For this reason we evaluated our approach focusing on two targets of the SemEval-2016 Task 6 on Detecting stance in tweets, which are related to the political campaign for the 2016 U.S. presidential elections: Hillary Clinton vs. Donald Trump. For the sake of comparison with the state of the art, we evaluated our model against the dataset released in the SemEval-2016 Task 6 shared task competition. Our results outperform the best ones obtained by participating teams, and show that information about enemies and friends of politicians help in detecting stance towards them.
pytorch-bert-absa
Aspect-based sentiment analysis with BERT