Name: Arun Balajiee Lekshmi Narayanan
Type: User
Company: @IITH
Bio: PhD Student.
Javascript, Python, C++, Java, R.
Quizzer. Love transforming coffee to code
Twitter: encodedgeek
Location: Pittsburgh
Blog: https://a2un.github.io
Arun Balajiee Lekshmi Narayanan's Projects
500 Lines or Less
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
I am the encoded geek
A collection of 400+ survey papers on Natural Language Processing (NLP) and Machine Learning (ML)
Tool to parse Python code
DEPRECATED
TF-Agents is a library for Reinforcement Learning in TensorFlow
Dedicated Game Server Hosting and Scaling for Multiplayer Games on Kubernetes
An Executive Tour of Algorithmic Fairness
Popular algorithms explained in simple language with examples and links to their implementation in various programming languages and other required resources.
✨ Recognize all contributors, not just the ones who push code ✨
Alumni portal for IIT Hyderabad
This project aims to provide a reusable pull to refresh widget for Android.
A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
PyTorch code for Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation (AQM+)
Code for reproducing experiments in our ACL 2019 paper "Probing Neural Network Comprehension of Natural Language Arguments"
An annotated corpus of argumentative microtexts
Code for our ACL19 paper on argument generation
Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.
Spring 2022 Fairness in ML Project --- Artie Bias Corpus: an audio corpus + code for detecting demographic bias
INFSCI 2935 Final Project. Understanding ASR systems in terms of their fairness by demographics Analyze the ideas discussed in the paper by https://www.pnas.org/doi/epdf/10.1073/pnas.1915768117 and https://arxiv.org/abs/2109.09061
INFSCI 2935 Fairness in ML Course Project Code and data for Koenecke et al. (2020)
Python module for evaluating ASR hypotheses (e.g. word error rate, word recognition rate).
AutoML library for deep learning
List of relevant resources for machine learning from explanatory supervision
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent