Name: Yash Kumar Atri
Type: User
Company: @IIITD @lcs2-iiitd @hartvigsen-group
Bio: Postdoc@UVA, Former (PhD@IIIT-Delhi, RA@LCS2-IIITD, Data Scientist@lumiqai)
Twitter: yashkumaratri
Location: India
Blog: yashkumaratri.github.io
Yash Kumar Atri's Projects
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
This repository contains the Hostility Detection dataset for Hindi language used in the shared task at Constraint@AAAI 21 workshop. For more details about the shared task please visit: https://constraint-shared-task-2021.github.io/
Kaggle work
Template for CS287 HW1
Implemented ML algorithms in hyperbolic geometry (MDS, K-Means, Support vector machines, etc.)
Hyperbolic Embeddings
Oxford Deep NLP 2017 course
A programme written in C language to program a microcontroller to guide a robot to follow a direction
MERLOT: Multimodal Neural Script Knowledge Models
The code behind the Microsoft.github.io website
Source code for example at http://stackoverflow.com/questions/5871730/need-a-minimal-django-file-upload-example
Website for Machine Learning India (ml-india). Fostering machine learning and data science ecosystem in India.
Code for the EMNLP 2018 paper "Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization"
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Code and data for the paper, "Automatically Neutralizing Subjective Bias in Text"
A simple python implementation of the Maximal Marginal Relevance (MMR) baseline system for text summarization.
Default (ALICE clone) AIML set that is compatible with Program O
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
a group project to classify between 14 types of propaganda
This model is trained over hundreds of PUNs and can do the 3 subtasks depicted in SEMEVAL 2017 Task 7
Full Python implementation of the ROUGE metric, producing same results as in the official perl implementation.
Automated Pyramid Summarization Evaluation
Implementation of Dual Learning NMT on PyTorch
A lightweight and flexible framework for Hebbian learning in PyTorch.